{"@context":"https://schema.org","@type":"ItemList","name":"Software Engineer Jobs - Find the Latest Software Engineering Positions","description":"Explore a variety of software engineer jobs available on our platform. Apply to software development roles in leading companies. Start your career in software engineering today.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Software Engineer – Data Platform","datePosted":"2025-07-21","description":"

It's fun to work in a company where people truly BELIEVE in what they're doing!

‎

Job Description

Design, build, and maintain data platform systems for data ingestion (batch and streaming), data warehousing, and data retrieval.
Collaborate with team members (local and remote) to deliver high-quality solutions for our data platform.
Participate in code reviews and promote engineering best practices to improve code quality and system performance.
Help manage and operate Kubernetes clusters and cloud infrastructure for the data team.
Quickly prototype, implement, and iterate on solutions based on feedback from product managers and stakeholders.
Troubleshoot and debug production issues to ensure reliability and stability of the platform.
Ensure data quality, consistency, and adherence to data governance standards across all data workflows in the platform.
Assist with monitoring, logging, and alerting to support production systems.
Contribute to team knowledge by sharing learnings, past experience, and supporting mentorship within the team.
Foster a collaborative, inclusive, and growth-oriented team environment.

‎

Requirements

Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
1-3 years of professional software engineering experience, preferably building backend, data, or distributed systems.
Strong proficiency in at least one programming language: Python, Java, Go, or similar (polyglot experience welcomed).
Good understanding of software engineering fundamentals, algorithms, and design patterns.
Practical experience in testing, code reviews, version control (Git), and implementing CI/CD pipelines.
Exposure to monitoring, logging, alerting, and debugging practices for production-grade systems.
Familiarity with data warehouse technologies and cloud data stores; ability to optimize complex queries.
Excellent communication and teamwork skills.
Experience working with container orchestration (Kubernetes) and Google Cloud Platform is a plus.

‎

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

","hiringOrganization":{"@type":"Organization","name":"Traveloka","sameAs":"https://www.traveloka.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Indonesia - Jakarta, Green Office Park 1","addressCountry":"Indonesia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Software Engineer, Data Platform","datePosted":"2025-07-21","description":"

ABOUT RETOOL

Nearly every company in the world runs on custom software: Gartner estimates that up to 50% of all code is written for internal use. This is the operational software for refunding orders, underwriting loans, onboarding employees, analyzing transactions, and providing customer support. But most companies don’t have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows.

At Retool, we’re on a mission to bring good software to everyone. We’re building a new type of development platform that combines the benefits of traditional software development with a drag-and-drop UI editor and AI, making it dramatically faster to build internal tools. We believe that the future of software development lies in abstracting away the tedious and repetitive tasks developers waste time on, while creating reusable components that act as a force multiplier for future developers and projects. The result is not just productivity, but good software by default. And that’s a mission worth striving for.

Today, our customers span from small startups building their first operational tools to Fortune 500 companies building mission-critical apps for thousands of users across their business. Interested in joining us? Let us know!

WHY WE'RE LOOKING FOR YOU:

Retool is a fast-growing company with quickly evolving business needs. We’re looking to hire engineers to help us build out our data ecosystem to serve the needs of our business today and for broader scale years from now. We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high growth startup.

WHAT YOU'LL DO:

You’ll design and build the infrastructure and tooling that strengthens Retool’s data culture at scale. You’ll take on projects that solidify Retool’s analytics capabilities and help the company remain data-driven. You'll develop and scale ingestion infrastructure, optimize our ETLs, and design our data infrastructure for scale, with a keen eye for data warehouse management and tooling. You'll also take on ownership of our data stack to ensure that your teammates are able to access the data they need to make decisions and technical teams are able to quickly implement events. We’ve already built out a solid stack on top of Kafka, Databricks, DBT, and of course, Retool, but we need your help to ensure it scales with the company as our user base grows.

WHO YOU'LL WORK WITH:

You’ll work with stakeholders across the business, including data scientists, analytics engineers, finance, marketing, engineering, product, operations, and support. You’ll be joining a broader team of Retools who are passionate about serving our customers, enjoy collaborating to build an incredibly innovative product, and enjoy swapping stories. If this sounds like you, we’d love to hear from you!

IN THIS ROLE, YOU'LL:

Architect and scale a modern data platform that will be used internally by all of Retool
Build and maintain scalable ETL pipelines to efficiently process and transform large volumes of data from source systems into our data warehouse
Work with our engineering teams to ensure robust instrumentation across areas of the product
Partner with business stakeholders to synthesize and develop requirements for core tables
Implement monitoring and observability to guarantee data quality and consistency
Articulate and implement best practices around ingestion frameworks and data pipeline development

THE SKILLSET YOU'LL BRING:

3+ YOE Data Engineering experience
Experience with distributed processing frameworks (e.g. Spark, Hadoop)
Experience building Infrastructure as Code (e.g. Terraform)
Must know SQL and at least one programming language (e.g. Python, Java, Javascript)
Background in Data Engineering, 3+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT)
Experience using Infrastructure as Code (IaC) to automate data infrastructure provisioning and management (i.e. Terraform)
Experience implementing and defining best data practices at scale
Experience proactively identifying opportunities to improve ETL & dashboard performance and cost
Proficiency with common git workflows and at least one programming language (e.g. Python, Scala, Java)
A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a dynamic environment
A bias towards communication and collaboration with business and technical stakeholders
Quantitative rigor and systems thinking

For candidates based in San Francisco, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.

Additional compensation in the form(s) of equity, and/or commission/bonuses are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

San Francisco $164,600—$222,600 USD

Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!

Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.

","hiringOrganization":{"@type":"Organization","name":"Retool","sameAs":"https://retool.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Software Engineer, Data Platform","datePosted":"2025-08-03","description":"

TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact.

The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

The impact you’ll have here:

Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

What we’re looking for:

A Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 3+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
\n
- In-depth experience with data stores such as Icerberg, Trino, BigQuery, and StarRocks, and Citus.
- Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc.
- Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
- Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
- Proven ability in loading, querying, and transforming extensive datasets.
\n

About the Team:

The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes.
We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM.
We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs.
We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you!
Team members are based in the US across almost all timezones! Our on-call tends to be in EST/PST shift, whatever suits you the best.
We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings.

Learn about TRM Speed in this position:

Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc.
Enable tasks to be faster next time and reducing dependency on a single person.
Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months.
Identify first version, a.k.a., \"skateboards\" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard.

About TRM's Engineering Levels:

Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.

Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.

Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.

The following represents the expected range of compensation for this role:

Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
The estimated base salary range for this role is $170,000 - $190,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.
Please note – we factor in the different costs for geographies outside the United States.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

TRM moves fast—really fast. We know a lot of startups say that, but we mean it. We operate with urgency, ownership, and high standards. As a result, you’ll be joining a team that’s highly engaged, mission-driven, and constantly evolving.

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

We’re looking for team members who thrive in fast-paced, high-impact environments and love building from the ground up. TRM is remote-first, with an exceptionally talented global team. If you enjoy solving tough problems and seeing your work make a difference for billions of people, we want you here. Don’t worry if your experience doesn’t perfectly match a job description— we value passion, problem-solving, and unique career paths. If you’re excited about TRM’s mission, we want to hear from you.

Recruitment agencies

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Privacy Policy

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

","hiringOrganization":{"@type":"Organization","name":"TRM Labs","sameAs":"https://www.trmlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Software Engineer, Data Platform","datePosted":"2025-08-11","description":"

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.

Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.

Come help us bring modern software to modern science.

ROLE OVERVIEW

As one of Benchling's Data Platform engineers, you'll join a rapidly growing engineering team and form the foundation of our data pillar, encompassing customer-facing products and internal-developer services/tools. You will build the next generation of our Data Platform services that enable internal developers to build multi-tenant applications/services that consume near real-time data-changes. Benchling is growing quickly, and you'll set the bar for high-quality data and a metrics-driven culture as we scale. You'll serve as a key input and thought leader and work closely with the product teams to deliver data-driven capabilities to our internal and external customers.

RESPONSIBILITIES

Own projects end-to-end, from initial design, to prototype, to large-scale rollout.
Build & operate high throughput distributed messaging platform like Kafka/kinesis to enable data change capture and data integration across Benchling.
Define and design data transformations and pipelines for cross-functional datasets, while ensuring that data integrity and data privacy are first-class concerns regarded proactively, instead of reactively.
Define the right Service Level Objectives for the batch & streaming pipelines, and optimize their performance.
Designing and creating CI/CD pipelines for platform provisioning, full lifecycle management. Building the platform control panel to operate the fleet of systems efficiently.
Work closely with the team across Application and Platform to establish best practices around usage of our data platform.

QUALIFICATIONS

Have 6+ years of experience or a proven track record in software engineering
Experience with data processing technologies Kafka, Kinesis, Spark, Flink, or other open-source or commercial software
Experience designing, building, and maintaining scalable, distributed systems
Strong experience with scripting language (such as Python)
Experience with deployment and configuration management frameworks such as Terraform, Ansible, or Chef and container management systems such as Kubernetes or Amazon ECS.
Driven by creating positive impact for our customers and Benchling's business, and ultimately accelerating the pace of research in the Life Sciences
Comfortable with complexity in the short term but can build towards simplicity in the long term
Strong communicator with both words and data - you understand what it takes to go from raw data to something a human understands

HOW WE WORK

We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).

SALARY RANGE

Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is $165,113 to $223,388.

To help you determine which zone applies to your location, please see this resource. If you have questions regarding a specific location's zone designation, please contact a recruiter for additional information.

\nTotal Compensation includes the following:\n

Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation
Company-wide Winter holiday shutdown
Sabbaticals for 5-year and 10-year anniversaries

#LI-Hybrid

#BI-Hybrid

#LI-MD1

Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.

We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

Please be aware that Benchling will never request personal information, payment, or sensitive details outside of Greenhouse or via email. All official communications will come from an @benchling.com email address or from an approved vendor alias. If you are contacted by someone claiming to represent Benchling and are unsure of their legitimacy, please reach out to us at recruiting-fraud-alert@benchling.com to verify the communication.

ROLE OVERVIEW

At Benchling, we’re building the data foundation that powers the future of life sciences R&D—and that means tackling hard, high-impact engineering challenges. As a Data Platform Engineer, you’ll help design and scale the infrastructure that enables real-time scientific discovery across our platform. You’ll work on multi-tenant systems, change data capture (CDC) pipelines, and distributed processing frameworks that connect data seamlessly across teams and products.

This is an opportunity to own initiatives end-to-end—from defining scope and writing functional specs, to building, deploying, and operating core systems at scale. You’ll collaborate closely with application engineers, platform architects, and product teams, setting the standard for data integrity, privacy, and reliability in both internal and customer-facing systems. The work you do here will have a direct line of sight to real-world health outcomes.

RESPONSIBILITIES

Own major initiatives from concept through rollout, independently defining scope, writing specifications, prototyping, testing, and scaling production systems.
Build and operate high-throughput distributed messaging platforms (e.g., Kafka, Kinesis) that power CDC and cross-platform data integration.
Design and implement data transformations and pipelines across functional datasets, proactively ensuring integrity, security, and privacy.
Establish and own Service Level Objectives (SLOs) for batch and streaming pipelines, driving performance and reliability improvements.
Create CI/CD pipelines for platform provisioning and lifecycle management, and build internal tooling to operate large-scale systems efficiently.
Partner with teams across Application and Platform to define best practices and patterns for interacting with the data platform.
Champion a metrics-driven culture and influence how Benchling teams design, consume, and operate data at scale.

QUALIFICATIONS

2+ years of software engineering experience (or equivalent track record), including independently delivering impactful technical projects.
Experience with distributed data processing technologies (e.g., Kafka, Kinesis, Spark, Flink, or similar).
Proven ability to design, build, and operate scalable, distributed systems end-to-end.
Strong scripting skills (e.g., Python) for automation and tooling.
Hands-on experience with infrastructure-as-code (Terraform, Ansible, Chef) and container orchestration (Kubernetes, Amazon ECS).
Demonstrated ability to define project scope, create functional specifications, plan testing, and measure success through metrics.
Strong communication skills—able to translate complex technical concepts into clear written documentation and actionable insights.
Customer-focused mindset and a drive to create measurable impact for scientists and researchers worldwide.

HOW WE WORK

We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).

SALARY RANGE

\nTotal Compensation includes the following:\n

Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation
Company-wide Winter holiday shutdown
Sabbaticals for 5-year and 10-year anniversaries

#LI-Hybrid

#BI-Hybrid

#LI-MD1

Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.

We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

","hiringOrganization":{"@type":"Organization","name":"Benchling","sameAs":"https://www.benchling.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Software Engineer - Data Platform - Pulse","datePosted":"2025-07-18","description":"Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
Veeva Pulse is our new data product that collects big data from multiple sources to provide customer benchmarks and industry insights to Veeva customers in order to help the industry become more efficient and effective. We are looking for a data-centric software engineer to join our rapidly expanding Pulse team to develop a highly scalable, high-performance big data analytics engine and ETL platform.\n

What You'll Do

Participate in all aspects of the SDLC
Design solutions with high scalability and performance
Collaborate with product managers, other engineers, and domain experts to design and develop cutting-edge applications in life science
Write clean, testable, readable code in a team environment using design
Contribute to troubleshooting and technical support of the product

Requirements

5+ years of experience in software product development
Experience coding analytics in Python
Experience with application development in Java using frameworks such as Spring
Experience with RDBMS such as MySQL
Degree in Engineering/Computer Science or equivalent

Nice to Have

Experience writing Python for data science projects
Experience writing cloud software on the AWS platform
Experience working in an agile environment
Experience with Spring framework
Experience with Software-as-a-Service (SaaS) product development

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.","hiringOrganization":{"@type":"Organization","name":"Veeva Systems","sameAs":"https://www.veeva.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"China - Chengdu","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Software Engineer - Data Platform","datePosted":"2025-07-03","description":"

Get to know Okta

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

About the Team

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables:

Streaming analytics
Interactive end-user reporting
Data and ML platform for Okta to scale
Telemetry of our products and data

Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever.

About the Position

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design & implementation of the solutions to these problems.

Job Duties and Responsibilities:

Design, implement and own data-intensive, high-performance, scalable platform components
Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation
Conduct and participate in design reviews, code reviews, analysis, and performance tuning
Coach and mentor engineers to help scale up the engineering organization
Debug production issues across services and multiple levels of the stack

Required Knowledge, Skills, and Abilities:

4+ years of experience in object-oriented language, preferably Java
Hands-on experience using a cloud-based distributed computing technologies including

Messaging systems such as Kinesis, Kafka
Data processing systems like Flink, Spark, Beam
Storage & Compute systems such as Snowflake, Hadoop
Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos

Experience in developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection and memory management
Experience with reliability engineering specifically in areas such as data quality, data observability and incident management

Nice to have

Maintained security, encryption, identity management, or authentication infrastructure
Leveraged major public cloud providers to build mission-critical, high volume services
Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.
Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
Experience developing Kubernetes based services on AWS Stack

#LI-Hybrid

What you can look forward to as a Full-Time Okta employee!

Amazing Benefits
Making Social Impact
Developing Talent and Fostering Connection + Community at Okta

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

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The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Staff Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

The impact you’ll have here:

Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

What we’re looking for:

A Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 7+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
\n
- In-depth experience with data stores such as Icerberg, Trino, BigQuery, and StarRocks, and Citus.
- Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc.
- Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
- Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
- Proven ability in loading, querying, and transforming extensive datasets.
\n

About the Team:

The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes.
We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM.
We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs.
We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you!
Team members are based in the US across almost all timezones! Our on-call tends to be in EST/PST shift, whatever suits you the best.
We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings.

Learn about TRM Speed in this position:

Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc.
Enable tasks to be faster next time and reducing dependency on a single person.
Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months.
Identify first version, a.k.a., \"skateboards\" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard.

About TRM's Engineering Levels:

The following represents the expected range of compensation for this role:

Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
The estimated base salary range for this role is $240,000 - $265,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.
Please note – we factor in the different costs for geographies outside the United States.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

Recruitment agencies

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

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The impact you’ll have here:

Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

What we’re looking for:

A Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
\n
- In-depth experience with data stores such as Icerberg, Trino, BigQuery, and StarRocks, and Citus.
- Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc.
- Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
- Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
- Proven ability in loading, querying, and transforming extensive datasets.
\n

About the Team:

The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes.
We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM.
We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs.
We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you!
Team members are based in the US across almost all timezones! Our on-call tends to be in EST/PST shift, whatever suits you the best.
We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings.

Learn about TRM Speed in this position:

Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc.
Enable tasks to be faster next time and reducing dependency on a single person.
Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months.
Identify first version, a.k.a., \"skateboards\" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard.

About TRM's Engineering Levels:

The following represents the expected range of compensation for this role:

Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.
The estimated base salary range for this role is $190,000 - $220,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.
Please note – we factor in the different costs for geographies outside the United States.

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

Recruitment agencies

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

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About Us:

At Parafin, we’re on a mission to grow small businesses.

Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.

We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.

Join us in creating a future where every small business has the financial tools they need.

About the Position:

We’re looking for a seasoned software engineer to join Parafin’s Infrastructure team and lead the development of our next-generation Data Platform. This role is critical to ensuring that our data infrastructure is reliable, scalable, and developer-friendly as we continue to power financial services for small businesses.

As a Senior Software Engineer, you’ll be responsible for designing, building, and maintaining the systems that ingest, transform, and serve data across the company. You’ll partner closely with Data Science, Platform Engineering, and Product Engineering teams to support data-driven product development and decision-making.

What You’ll Do:

Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS.
Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self‑service tooling, and clear documentation.
Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products.
Own the Data & ML platform infrastructure using Terraform, including end‑to‑end administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high availability of data pipelines.
Lead projects to improve data quality, testing, observability, and cost efficiency across existing pipelines and backend systems (e.g., migrating Databricks SQL pipelines to dbt, scaling data ingestion, improving data-lineage tracking, and enhancing monitoring).
Work closely with backend engineers and data scientists to design performant data models and support new product development initiatives.
Share best practices and mentor other engineers working on data-centric systems.

What We’re Looking For:

4+ years of experience in software engineering with a strong background in data infrastructure, pipelines, and distributed systems.
Advanced proficiency in Python and SQL.
Hands-on Spark development experience.
Expertise with modern cloud data stacks—AWS (S3, RDS), Databricks, and Airflow—and lakehouse architectures.
Hands‑on experience with foundational data‑infrastructure technologies such as Hadoop, Hive, Kafka (or similar streaming platforms), Delta Lake/Iceberg, and distributed query engines like Trino/Presto.
Familiarity with ingestion frameworks, developer‑experience tooling, and best practices for data versioning, lineage, partitioning, and clustering.
Strong problem-solving skills and a proactive attitude toward ownership and platform health.
Excellent communication and collaboration skills, especially in cross-functional settings.

Bonus Points

Experience with AWS infrastructure using Terraform.
Familiarity with observability tools (e.g., Datadog) and cost tracking in cloud environments.
Experience with financial systems or building platforms in a fintech setting.
Prior work on ML infrastructure: Feature stores (e.g., Tecton), ML model lifecycle (training, deployment, monitoring, retraining), real-time inference.
Contributions to internal tooling or open-source projects in the data ecosystem.

What We Offer:

Salary Range: $205k - $250k
Competitive equity grant
Medical, dental, and vision insurance
Unlimited PTO & flexible WFH policy
Paid parental leave
Free lunches & commuter benefits
401(k) and EAP support

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

","hiringOrganization":{"@type":"Organization","name":"Parafin","sameAs":"https://www.parafin.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Data Platform Software Engineer II","datePosted":"2025-08-07","description":"

Life at MX

We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you.

Come build with us and be part of an award-winning company that’s helping create meaningful and lasting change in the financial industry.

Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with their finances. Our products need to handle data on a massive scale. You’ll work alongside the best and the brightest engineering talent in the industry. We have opportunities in a wide range of areas, including development, design, search, platform, test, quality, big data, front end, and back end. As a core team participant, you’ll estimate engineering efforts, design your changes, implement and test your changes, push to live production environments, and triage production issues. You need to be dynamic, collaborative, and curious as we build new experiences, improve existing products, and develop distributed systems powering the world to be financially strong.

We need our engineers to be versatile, display leadership qualities, and be enthusiastic about tackling new problems across the entire stack as we push technology forward.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. In addition, you will design, develop, test, deploy, maintain, and enhance software solutions.

Job Duties

Use professional concepts and company objectives to resolve complex issues creatively and effectively.
Work on complex issues where analysis requires an in-depth evaluation of the problem, constraints, available resources, and potential solutions.
Exercise good judgment in selecting methods, techniques, and evaluation criteria for obtaining results.
Actively participate in system architecture discussions and technical design reviews to ensure scalability, reliability, and security.
Write high-quality product or system development code using a CI/CD approach.
Thoughtfully review code developed by other engineers and provide constructive feedback to ensure ongoing learning and the use of software development best practices.
Triage product or system issues and debug/track/resolve them by analyzing the issue’s source and impact on hardware, network, or service operations and quality.
Mentor, coach, and support engineers on the team, with a strong focus on feedback and growth.
Contribute to existing documentation and educational content based on product/program updates and user feedback.

Help build and maintain a world-class technology system so we can achieve our mission of empowering the world to be financially strong.
Provide 24/7 Production On-call support 1xMonth

Basic Job Requirements

Bachelor’s Degree or equivalent experience
4+ years experience with software development in one or more programming languages with data structures or algorithms preferred
4 years of experience testing, maintaining, or launching software products, and
2 years of experience with software design and architecture.
Experience with Object Oriented Programming paradigm
Proficiency in version control systems (e.g., Git)
Skills in any programming language, but experience in Ruby, Go, or JavaScript is especially relevant
Strong sense of writing and refactoring clean, maintainable code
Ability and willingness to collaborate with key stakeholders outside one’s area of expertise

Advanced Job Requirements (not Mandatory)

Familiarity with Ruby on Rails, Protocol Buffers, gRPC, and RabbitMQ
Master's Degree or Ph.D. in Computer Science or related technical fields
Experience with public cloud environments like GCP or AWS
Familiarity with container orchestration tools such as Kubernetes, including proficiency in using Argo for workflow management
Experience with RDBMS (PostgresQL, Oracle, MySQL etc) & NoSQL (Redis, Mongo, Couchbase etc) database technologies is plus

At MX, we are a high-performance organization that thrives on trust and results. This role is based in Lehi, Utah, with flexibility for both in-office and remote work. We believe in empowering our team members to deliver exceptional outcomes while taking advantage of our incredible office space when it best supports their work. Our Utah office features onsite perks such as company-paid meals, massage therapists, a sports simulator, gym, mother’s lounge, and meditation room and meaningful interactions with amazing people. We encourage team members to come together in the office to collaborate, kick off key projects, or strategize cross-functionally, fostering connection and innovation.

MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.

","hiringOrganization":{"@type":"Organization","name":"MX","sameAs":"https://www.mx.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lehi, UT, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Software Engineer (Data Platform)","datePosted":"2025-08-08","description":"

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

What We’re Looking For

At Datavant we are excited to meet engineers who problem solve, build, and understand the methodologies and underlying concepts of software engineering. As an experienced leader of projects, teams and initiatives, you will join the team with the autonomy and decision rights to immediately begin shaping our healthcare data ecosystem for our clients. Our goal is to connect the world’s health data and as a Senior Software Engineer you will work on the architecture and design level solutioning of our product while also driving implementation and helping to mentor other team members. If you are looking for a rapidly growing engineering team focused on delivering meaningful impact through innovative technology solutions, this is the team and role for you!

What You Will Do

Lead design, implementation and own end to end development of your products
Guide and mentor other engineers while developing cutting-edge solutions for our health data ecosystem
Own multiple projects, conduct code reviews, translate product requirements to the team, and act like an owner
Drive innovation and deliver valuable data solutions for our clients
Work with our modern tech stack including Python, Java, Spark, AWS and more
Help contribute to our awesome tech blog - click here to check it out!

What You Need to Succeed

6+ years of experience writing production-ready code, performing code reviews, and working on full stack design and architecture of applications
Experience with Java
Experience with AWS tech stack, Kafka, SQL, Cassandra, Redis or similar technologies.
Experience with Scala and Big data technologies (Spark, Delta) would be a plus
Experience with Databricks would be a plus.
Exceptional ability to write production-ready code and build scalable data flows
Readiness to thrive and communicate with your team and collaborate with others in a fast-paced environment
Demonstrated experience owning projects, migrations, and leading from the front
Excitement, passion and curiosity about our mission of connecting the world’s health data and improving patient outcomes

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.

The estimated total cash compensation range for this role is:$184,000—$230,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.

This job is not eligible for employment sponsorship.

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way.

Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please contact us at peopleteam@datavant.com. We will review your request for reasonable accommodation on a case-by-case basis.

\n\n\n\n\n

For more information about how we collect and use your data, please review our Privacy Policy.

\n\n\n\n\n

","hiringOrganization":{"@type":"Organization","name":"Datavant","sameAs":"https://www.datavant.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Software Engineer III - Data Platform","datePosted":"2025-08-04","description":"

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.

We’re building the next generation of data platforms to provide the highest quality data to AI and GTM space. Our team provides the solid foundation of the data store that powers all the ZoomInfo products. As such, we are transforming how business leverages the data through innovative pipeline development, monitoring systems, and analytics dashboards.

As a Software Engineer III on the Data Platform team, you will contribute to data storage layers that store all the customer data that can be used for analytical, AI/ML training and online inference, and real-time UI product use cases.

The role is perfect for someone who has data platform experience and has passion to solve complex data problems while working in a culture that values transparency and collaboration. If you are excited to build the data powerhouse to increase the business values for the company, we want to talk to you.

What you will do:

Work with scalable data pipelines handling terabyte-scale data
Work with both data pipelines and microservices to handle data processing
Partner with cross team customers to produce high quality datasets
Partner with Tech Ops, Data Analytics, and Product teams to deliver high-quality solutions
Develop new skills as you push your knowledge, and our technology, to new levels
Work with the data monitoring systems to ensure accuracy and performance

What you bring:

4+ years of industry experience, B.S. in Computer Science or equivalent
4+ years of experience with Java and Python
2+ years of experience working with CRM systems such as Salesforce or Microsoft Dynamics
4+ years of cloud experience a must
Hands-on experience with streaming and batch data processing
Experience with Java/Scala programming
Medium SQL knowledge
Experience in building and scaling big data solutions
GCP expertise (AWS exposure a plus)
Passion for developing excellent software and continuous improvement.
Strong desire to seek pragmatic, innovative solutions to complex business and technical problems.
Excellent interpersonal skills and ability to collaborate cross-functionally with internal teams.
Nice to have: Experience with data orchestration tools like Airflow.

#LI-SK

#LI-Hybrid

About us:

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

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As a Senior SW Engineer on the Data Platform team, you will contribute to data storage layers that store all the customer data that can be used for analytical, AI/ML training and online inference, and real-time UI product use cases.

What you will do:

Work with scalable data pipelines handling terabyte-scale data
Work with both data pipelines and microservices to handle data processing
Partner with cross team customers to produce high quality datasets
Partner with Tech Ops, Data Analytics, and Product teams to deliver high-quality solutions
Develop new skills as you push your knowledge, and our technology, to new levels
Work with the data monitoring systems to ensure accuracy and performance

What you bring:

6+ years of industry experience, B.S. in Computer Science or equivalent
6+ years of experience with Java and Python
3+ years of experience working with CRM systems such as Salesforce or Microsoft Dynamics
5+ years of cloud experience a must
Hands-on experience with streaming and batch data processing
Experience with Java/Scala programming
Medium SQL knowledge
Experience in building and scaling big data solutions
GCP expertise (AWS exposure a plus)
Passion for developing excellent software and continuous improvement.
Strong desire to seek pragmatic, innovative solutions to complex business and technical problems.
Excellent interpersonal skills and ability to collaborate cross-functionally with internal teams.
Nice to have: Experience with data orchestration tools like Airflow.

#LI-SK

#LI-Hybrid

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.$161,360—$242,040 USD

About us:

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

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About the Team/Role

WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk.

We are seeking a Software Engineer to join our dynamic team. In this role, you will collaborate across disciplines—combining software development, data engineering, and operations—to build innovative, high-quality, and scalable solutions across the technology stack. You will be involved in all stages of the product life cycle, including design, development, testing, deployment, and optimization of data products and systems. Working closely with senior engineers and team leads, you will enhance your technical skills and contribute to delivering solutions that meet business objectives.

What You'll Do:

Platform Design & Development:

Collaborate with stakeholders to gather requirements and translate them into a comprehensive software system. This includes designing microservices, persistence layers, and implementing deployment workflows using tools like Terraform, Ansible, Puppet, or Salt.
Design, develop, and implement highly available, scalable, and secure platform services for our data PaaS using programming languages (e.g., Python, Go, Java).
Contribute to the architectural evolution of our data platform, ensuring it meets the growing demands of our users and adheres to best practices.
Develop and maintain APIs, automation tools, and internal services to streamline platform operations and enhance developer experience.
Implement and improve data pipelines, storage solutions, and processing frameworks within the PaaS.

Infrastructure Management & Automation:

Manage and optimize cloud infrastructure in AWS and Azure cloud services to support our data platform, focusing on cost-efficiency, performance, and reliability.
Implement Infrastructure as Code (IaC) principles using tools like Terraform for provisioning and managing resources.
Develop and maintain CI/CD pipelines to automate deployments, testing, and release processes for platform services.
Monitor platform health, performance, and security, and proactively identify and address potential issues.

Data Expertise & Integration:

Work closely with data engineers and AI engineering to understand their needs and provide platform capabilities that facilitate efficient data ingestion, processing, storage, and analysis.
Ensure the platform supports various data technologies and paradigms (e.g., streaming, batch processing, data warehousing, data lakes).
Implement and manage data governance, security, and compliance features within the platform.

What You'll Bring:

Bachelor's degree in Computer Science, Software Engineering, or related field.
OR demonstrable equivalent deep understanding, experience, and capability.
Master or PhD degree in Computer Science (or related field) or good experience in software engineering.
Proven experience managing and optimizing cloud infrastructure (AWS, Azure).
Demonstrable experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation).
Solid experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with CI/CD pipelines and DevOps best practices (GitHub Actions preferred)
Familiarity with data storage and processing technologies (e.g., Kafka, Spark, Flink, Hadoop, Snowflake, MongoDB, S3/ADLS).
Proficiency in one or more programming languages commonly used for platform development (e.g., Python, Go, Java).
Strong understanding of networking, security, and performance principles in a cloud environment.
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Datadog).
Familiarity with database administration and optimization is a plus.
Familiarity with application access control and automation
Front-end engineering experience is advantageous

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(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.

Job Description

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Impact you will have:

Solve real business needs at large scale by applying your software engineering.
Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers
Low level systems debugging, performance measurement & optimization on large production clusters.
Build architecture design, influence product roadmap, and take ownership and responsibility over new projects
Use your deep experience to help prevent and investigate production issues.
Plan and lead complicated technical projects that work with several teams within the company.
A strong influencer or driver in the organization’s roadmap and direction.
Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.
Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).
Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

12+ years industry experience building and supporting large-scale distributed systems.
Comfortable working towards a multi-year vision with incremental deliverables.
Motivated by delivering customer value and impact.
Strong foundation in algorithms and data structures and their real-world use cases.
Experience driving company initiatives towards customer satisfaction.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About the Role

Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. These AI-native, data-intensive SaaS applications depend on fast, reliable, and secure access to massive datasets. That’s where the Data Platform team comes in: designing and operating scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), batch and stream processing (Kafka, Spark), orchestration (Airflow, DBT), and more.

We build and maintain the core infrastructure that powers Abnormal’s most data-heavy workloads, providing scalable, reliable, and efficient data platforms and services to all of engineering and data science. We also create tools that make this infrastructure simple to operate and integrate, enabling teams to deliver faster with confidence.

We’re looking for a Software Engineer II to help us define and build the next generation of our data platform. In this role, you’ll partner closely with experienced engineers, tackle ambitious technical projects, and play a key part in scaling the data platform that supports Abnormal’s rapid growth.

This is an opportunity to grow your skills, take ownership of important technical areas at Abnormal, and set yourself up for advancement into senior or technical leadership roles.

What you will do

Design, build, and operate core components of Abnormal’s data platform.
Develop self-serve tools and services that empower internal teams to adopt and scale data systems with minimal operational overhead.
Automate infrastructure and operations to ensure reliability, performance, and scalability with minimal human intervention.
Apply cutting-edge GenAI techniques to build smarter developer and operator experiences.
Collaborate across engineering teams to identify and close scalability or reliability gaps in their systems, leveraging our platform capabilities.
Own the end-to-end delivery of complex features or systems that bring clear value to internal stakeholders.

What you bring

3+ years of professional software engineering experience, with a focus on backend systems, distributed systems, or infrastructure.
A strong foundation in software development: clean, maintainable, and testable code.
Strong software engineering fundamentals, with an emphasis on taking engineering problems and solving them for long-term scale, reliability, and ease of use.
Strong experience with Python or Go, and hands-on expertise with AWS and/or Databricks.
Experience with one or more technologies in our stack: relational databases, RocksDB, OpenSearch/ElasticSearch, Redis, Kafka, Spark, Airflow, DBT, etc.
Excellent communication skills, with a proven ability to work effectively with remote and cross-functional teams.
A track record of owning and delivering technical projects with ambiguous requirements.
A growth mindset and a strong sense of ownership over your career development.

Why you’ll love it here

You’ll be part of a high-impact team solving hard problems that matter.
You’ll work with smart, kind, and ambitious teammates who are passionate about excellence.
You’ll get real opportunities for ownership, autonomy, and career growth.
You’ll help define the future of our data platform at a rapidly growing company.

#LI-ML1

At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.

Base salary range:$148,800—$175,050 USD

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

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About the Role

We’re looking for a Software Engineer I who is eager to learn and ready to take on meaningful technical challenges. You’ll work alongside experienced engineers, contribute to ambitious projects, and grow your skills while helping to scale the systems that support Abnormal’s rapid growth.

What you will do

Contribute to the design, development, and operation of core components of Abnormal’s data platform.
Build tools and services that make it easy for other teams to adopt and scale data systems.
Help automate infrastructure and operations to improve reliability, performance, and scalability.
Apply cutting-edge GenAI techniques to build smarter developer and operator experiences.
Collaborate across engineering teams to solve scalability and reliability challenges.
Take ownership of projects, delivering features end-to-end with guidance from senior engineers.

What you bring

1+ years of professional experience in software engineering: backend, distributed systems, or infrastructure preferred.
Solid programming skills in Python, Go, or a similar language (school, personal, or work experience all count).
Strong software engineering fundamentals like data structures, clean code, testing, and debugging.
Interest in learning about AWS, Databricks, and technologies in our stack (databases, streaming, orchestration).
Curiosity, problem-solving skills, and a willingness to ask questions.
Ability to work both independently and as part of a team, and strong communication skills.

Nice to Have (but you can also learn here)

Experience with one or more of: PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB, Kafka, Spark, Airflow, DBT.
Familiarity with cloud platforms (AWS, GCP, Azure).
Exposure to large-scale or data-intensive systems.

Why you’ll love it here

You’ll be part of a high-impact team solving problems that matter.
You’ll learn from and work with experienced engineers in a collaborative, supportive environment.
You’ll get real opportunities for ownership and career growth early in your journey.
You’ll help shape the future of our data platform at a fast-growing, AI-first company.

Nice to Haves

#LI-

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Employee Applicant Privacy Notice

Who we are:

\n\n

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role

SoFi is driven by data! In this role, you will contribute to the long-term success of SoFi's data vision by developing distributed systems and scalable data platforms. The Data Platform Group supports data use cases across all of SoFi's diverse business units by providing a highly scalable, democratized data platform that empowers teams to ingest, model, and consume data confidently. Join the Data Platform Group as it refines its vision and establishes industry-leading standards for data lifecycle management, introducing best-in-class architectural components and processes to extract value from disparate data sources. The success of this team is vital to the company's success, and your contributions will have a highly visible and lasting impact.

As a Principal Engineer, you'll contribute to the team's technical direction by designing innovative solutions to complex business challenges. You'll collaborate with engineering teams to maximize value for platform consumers, coordinate with squads to align with the Data Platform team's strategy, and provide guidance on testing and deployment strategies. Leveraging your expertise, you'll explore GenAI to enhance data analysis and decision-making. You'll mentor team members and represent the team during recruitment and hiring. The ideal candidate has experience in distributed systems and scalable data platforms.

What you’ll do:

Collaborate with cross-functional teams to understand complex business requirements and translate them into scalable, high-impact technical solutions, directly influencing SoFi's data-driven decision-making processes.
Lead architectural design sessions for the Data Platform and its integrations (APIs, services), ensuring solutions are not only technically sound but also aligned with broader business goals and significantly contribute to SoFi's overall data strategy.

Drive the development of advanced features within the Experimentation platform, ensuring modular, efficient, and scalable code structures optimized for the aforementioned stack.
Spearhead rigorous code review processes, underscoring best practices, efficiency, and optimal use of underlying software components unique capabilities and services.
Foster and facilitate internal technical sessions, exploring nuances of AWS data services like DMS, MSK (Kafka) , and S3, and sharing best practices for integration with the broader data stack.
Provide technical leadership in evaluating and adopting emerging technologies within the modern data stack, ensuring SoFi remains at the forefront of data engineering innovation.
Drive Operational excellence across the squads and act as a liaison between Data and other organizations. Implement and track operational metrics to measure progress and identify opportunities for further optimization.
Engineer sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations.
Leverage Python and SQL scripting proficiencies for intricate data operations, custom ETL/ELT processes, and sophisticated data transformations across the platform.
Collaborate with data scientists and ML engineers to explore and implement GenAI solutions for data analysis, feature engineering, and predictive modeling. Contribute to the development of responsible GenAI practices within the organization, ensuring ethical and unbiased use of AI technologies.
Mentor technical team members in best practices for Snowflake, Airflow, dbt, and AWS services, promoting a culture of technical distinction and innovation.

What you’ll need:

Educational Background: A Bachelor's or Master's degree in Computer Science, Information Security, or a related field is required; an advanced degree is preferred.
Experience: A minimum of 10 years in a pivotal Software/Data Engineering role, with extensive experience in modern data stacks, particularly Snowflake, Airflow, dbt, Kafka, Docker/k8s, and AWS data services.
Technical Skills:

Strong understanding of data ingestion, orchestration, transformation, and reverse ETL best practices and design principles.
Proven skills in distributed systems architecture and building scalable solutions.
Mastery in Python, Java, and SQL for complex operations within Snowflake and AWS services like DMS, MSK (Kafka), and S3.
Solid experience with Terraform or Cloudformation as IaC solutions.

Soft Skills:

Strong leadership and communication skills.
Experience working in a collaborative coding environment, refining designs together, working through code reviews, and managing pull requests.
Demonstrated problem-solving capabilities, especially within the context of the modern data stack and experimentation realm.
Exceptional technical communication skills, adept at liaising with both technical peers and diverse stakeholders within a data-driven organization.
Demonstrated ability to lead a team of developers, providing technical guidance, mentorship, and support.

Nice to have:

Data exploration and analysis experience using SQL/Python/R/Tableau.
Experience with prompt engineering and fine-tuning LLMs.
Contributions to open-source projects.
Experience with data governance and security.
Familiarity with machine learning concepts.
Experience with finance / fintech or enthusiastic to learn and grow in this space.

Compensation and Benefits\nThe base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. \n \nTo view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!\n

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

\nInternal Employees\nIf you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.","hiringOrganization":{"@type":"Organization","name":"SoFi","sameAs":"https://www.sofi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"CA - San Francisco; WA - Seattle","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Data Platform Software Engineer","datePosted":"2025-08-13","description":"

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Job Title: Senior Data Platform Software Engineer

Location: Kansas City, MO (Remote Eligible)

Company Overview:

SS&C is a global leader in investment and financial services software, serving over 18,000 organizations worldwide. Headquartered in Windsor, Connecticut, SS&C is dedicated to driving innovation and client satisfaction across the financial services and healthcare industries.

Job Description:

We are seeking a skilled Senior Data Platform Software Engineer to join our Data Platform team in Kansas City, MO. In this role, you will be instrumental in designing, coding, implementing, and optimizing a cloud-native data stack that leverages best-in-class open-source tools. The ideal candidate will design, build, and maintain an opinionated, resilient, and scalable data platform in a private cloud environment—enabling data-driven decision-making, analytics, and machine learning, while providing deep insights out of the box. This role blends data engineering, software development, and infrastructure management, leveraging tools such as Apache Iceberg, Java, Airflow, Spark, Kafka, and Superset.

Core Responsibilities

Data Pipelines

Develop and maintain robust, fault-tolerant data ingestion and transformation pipelines using Java, Python and Spark.
Define flexible and scalable data schemas using Apache Iceberg.
Support both batch and real-time data processing, including integration with Apache Kafka.
Ensure reliability, observability, and integrity of data pipelines.

Data APIs

Design and implement scalable, secure RESTful and data APIs for data access and integration.
Build APIs for data ingestion, transformation, and consumption across internal services.
Ensure API performance, consistency, and proper access controls.
Apply best practices for API design, versioning, and Swagger documentation.
Integrate APIs with orchestration tools like Apache Airflow and metadata platforms.
Enable seamless interoperability between data consumers, pipelines, and governance systems.

Metadata Management & Data Governance

Evaluate and implement metadata management platforms such as DataHub, Apache Atlas, or OpenMetadata to support data cataloging, lineage, and governance use cases.
Collaborate with data stakeholders to align metadata solutions with organizational needs.
Define and enforce governance policies related to data quality, privacy, and compliance (e.g., GDPR, CCPA).
Implement fine-grained access controls, encryption, and auditing with a focus on regulatory compliance and data traceability.

Automation & CI/CD

Automate data workflows, infrastructure provisioning, and deployments using tools like Airflow, Ansible, Salt and Kubernetes.
Implement CI/CD pipelines for data platform updates and enhancements.

Performance Optimization

Optimize data storage and queries using Apache Iceberg and Spark to ensure high performance and low-latency access.
Identify and address performance bottlenecks; implement partitioning, caching, and indexing strategies.

Monitoring and Alerting

Monitor data platform health using tools such as Prometheus and Grafana dashboards.
Configure real-time alerts to proactively detect and resolve pipeline failures or data issues.
Troubleshoot and resolve platform outages and data incidents promptly.

Collaboration

Work closely with data scientists, analysts, and engineers to understand data needs and deliver performant, scalable solutions.
Collaborate with cross-functional teams (Cloud Engineering, Network, and DevOps/Solutions Engineering) to troubleshoot and resolve infrastructure issues.

Qualifications

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience

5–8+ years of experience in data engineering, with a strong focus on cloud-based data platforms.

Technical Skills

Strong programming skills in Java.
Deep knowledge of Apache Iceberg, Spark, Superset, and Kafka.
Familiarity with metadata management platforms like DataHub, Apache Atlas, or OpenMetadata and experience with their evaluation or implementation.
Experience with cloud-native infrastructure tools such as Kubernetes, Ansible, Salt, etc.

Soft Skills

Strong analytical and problem-solving skills.
Effective communication and collaboration with cross-functional teams.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

","hiringOrganization":{"@type":"Organization","name":"SS&C Technologies","sameAs":"https://www.ssctech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kansas City MO - Winchester Data Center, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Staff Software Engineer - Data Platform","datePosted":"2025-08-19","description":"

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.

Staff Software Development Engineer (SDE-V) – Data Platform

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me.

Role Overview

We are seeking a Staff Software Development Engineer (SDE-V) to lead the architecture and development of our next-generation Data Platform. This role will focus on building and scaling the foundational systems that anchors ID.me’s evolving data architecture, powering secure, connected, and intelligent identity experiences.

As a Staff Software Development Engineer on the Data Platform team, you will drive the technical vision for how data is ingested, stored, indexed, and queried at scale. You will lead a team of talented engineers to architect, evolve, and optimize these platforms to ensure they can meet the demands of our rapidly growing business—all in a cloud-native environment. You’ll play a pivotal role in shaping ID.me’s approach to data infrastructure and intelligence services that power identity verification, analytics, and machine learning use cases.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance.

Responsibilities

Architect and evolve graph-based storage and indexing systems, supporting complex, connected data workloads.
Design and maintain cloud-native data infrastructure using containerized microservices, scalable orchestration frameworks, and modern data processing tools.
Guide and mentor engineers in developing concurrent systems, large-scale distributed architectures, and performance-critical data flows.
Establish robust data platform APIs and tools that simplify data discovery, access control, and developer experience.
Contribute to and champion participation in open-source data infrastructure projects, fostering a culture of community-driven innovation.
Ensure reliability, observability, and security compliance across data platform components in partnership with SRE, security, and compliance teams.

Minimum Qualifications

Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field.
8+ years of professional software development experience, with at least 3 years in data infrastructure or distributed systems engineering.
Proficiency in a systems programming language such as Go, Java, Rust, or C++.

Preferred Qualifications

Expertise in distributed systems, or graph-based database architectures.
Experience designing and optimizing data ingestion pipelines, streaming frameworks, or graph distribution layers.
Knowledge of cloud-native architectures (e.g., Kubernetes, Terraform, Helm) and cloud providers such as AWS or GCP.
Track record of contributions to open-source data infrastructure projects
Strong understanding of graph query languages and data modeling best practices.
Deep commitment to mentoring, technical leadership, and cultivating engineering excellence.
Passion for performance engineering, clean abstractions, and developer-centric design.

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.

ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.

The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.

Mountain View, CA Pay Range$217,565—$260,000 USD

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

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Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics and Levi’s, visit www.impact.com.

Your Role at impact.com:

As a Software Engineer, you'll be the champion of performance and stability for our impact.com SaaS platform. Working closely with various engineering squads, you'll ensure features meet strict performance and error rate benchmarks. This collaborative role involves implementing comprehensive observability features to proactively identify and resolve issues. Ultimately, your mission is to guarantee exceptional platform reliability and global uptime. You'll be an expert in building, configuring, troubleshooting, and supporting complex systems, with a deep understanding of all technical layers. A relentless focus on quality and customer satisfaction.

What You'll Do:

Become an expert of our observability tools, such as Elastic APM, Splunk, Logic Monitor, Grafana. Build and enhance monitoring and alerting solutions with these tools to ensure we are aware of the health of customer-facing product features
Leverage data analyst tools such as DataBricks, Python, Machine Learning, Anomaly Detection to merge and augment observability datasets
Ensure performance and metrics of our product features are within acceptable thresholds. Examples include: response latency, cpu and memory consumption, cloud costs, error rates, uptime
Analyze and understand client-generated workloads - ensure resource consumption is consistent with their contract (e.g. Enterprise clients generate larger requests than Small Businesses, not the other way around).
Configure alerts and document associated run books when thresholds are exceeded
Drive and contribute to root-cause analysis when issues are identified

Troubleshoot across the entire stack: hardware, software, database, network, applications, customer-generated workloads
This role will have a particular focus on database performance and query optimization
Remediations may include software or database optimizations, changes to rate limit configurations, or client outreach to reduce heavy requests.
Identify targets for optimization, and collaborate with appropriate teams and stakeholders to ensure issues are resolved

Analyze platform usage data to calculate costs generated by customers using our platform, inform capacity planning decisions, and find area for improvement

What You Have:

Solid understanding of systems and application design.
Experience building and using observability features with tools such as ElasticSearch, Grafana, LogicMonitor, Splunk.
Experience database monitoring and SQL tuning
Proficient in at least one high-level programming language (Python, SQL) and shell scripting.
Ability to prioritize tasks and work independently.
Ability to adapt and focus on the simplest, most efficient and reliable solutions.
B.S. in Computer Science or similar field or equivalent experience.

Salary Range: $90,000 - $110,000 per year, plus additional 5% variable annual bonus contingent on Company performance and eligible to receive Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits:

Medical, Dental and Vision insurance
Unlimited responsible PTO
Flexible work hours
Continued access to Affiliate & Partnerships Industry Fundamentals Certification by PXA
Parental Leave
Catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled.
Flexible spending accounts and 401(k)
An employee-led culture team that plans inclusive events- meaning time together and other events to celebrate our many successes!
An established company with a cool, high-velocity work ethos, where each person can make a difference!

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

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Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability, real-time personalization, and business analytics by processing tens of billions of events per hour at petabyte scale.
Customer Data Platform (CDP) enables Grab Teams to onboard and register Grab's customer data and make it available for Online Serving, ML Models, Segmentation, and Real Time targeting to power personalization use cases across the company. Our platform is used across many mission-critical Grab services such as app personalization, experimentation, ads serving, and marketing.

Get to Know the Role

We are looking for a Senior Software Engineer for either the Scribe or CDP team that that has multiple different technical stacks:

Programming Languages: Python, Go, Scala
Data Streaming & Processing: Kafka, Apache Flink, Apache Spark
Data Infrastructure & Tooling: Event gateways, Schema validation tools, Instrumentation testing frameworks

You will report to Engineering Manager in Singapore and work onsite at Grab Vietnam office (CMC CREATIVE SPACE, D.7, HCMC).

The Critical Tasks You Will Perform

Design and improve clickstream data pipelines—from event ingestion to insight delivery—and contribute to services/tools for understanding user behavior.
Build scalable platform capabilities for user data onboarding, online serving, and real-time data pipelines/architecture.

Qualifications

What Essential Skills You Will Need

Software Engineering, Computer Science, or related undergraduate degree.
Minimum of 5+ years of experience in Software Engineering.
Proficient in at least one of the following programming languages: Python, Go, or Scala
Experience with data processing technologies such as Apache Flink (for real time processing) and Apache Spark (for batch processing)
Experience developing large-scale backend or data systems and has good understanding of technical trade offs and evaluations needed to enable high load, low latency systems, while maintaining system reliability and cost efficiency.
Proactive and product-ownership mindset, capable of delivering 0-to-1 products to facilitate rapid experimentation
Good English communications with prior work experience in regional & global environment

Desirable Experience

Experience building software using AI / ML
Experience with AWS, Terraform, and Kubernetes
Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
Experience building customer data platforms, clickstream platforms, or marketing / ads systems

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

We have your back with Term Life Insurance and comprehensive Medical Insurance.
With GrabFlex, create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
Balance personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

","hiringOrganization":{"@type":"Organization","name":"Grab","sameAs":"https://www.grab.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"HCMC, Vietnam","addressCountry":"Vietnam","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Staff Software Engineer - Data Platform (Noida)","datePosted":"2025-08-04","description":"Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Position Overview: We seek an experienced Staff Software Engineer to lead the design and development of our data warehouse and analytics platform in addition to helping raise the engineering bar for the entire technology stack at Level AI, including applications, platform, and infrastructure. They will actively collaborate with team members and the wider Level AI engineering community to develop highly scalable and performant systems. They will be a technical thought leader who will help drive solving complex problems of today and the future by designing and building simple and elegant technical solutions. They will coach and mentor junior engineers and drive engineering best practices. They will actively collaborate with product managers and other stakeholders both inside and outside the team.

\n

What you’ll get to do at Level AI (and more as we grow together):

Design, develop, and evolve data pipelines that ingest and process high-volume data from multiple external and internal sources.
Build scalable, fault-tolerant architectures for both batch and real-time data workflows using tools like GCP Pub/Sub, Kafka and Celery.
Define and maintain robust data models with a focus on domain-oriented design, supporting both operational and analytical workloads.
Architect and implement data lake/warehouse solutions using Postgres and Snowflake.
Lead the design and deployment of workflow orchestration using Apache Airflow for end-to-end pipeline automation.
Ensure platform reliability with strong monitoring, alerting, and observability for all data services and pipelines.
Collaborate closely with Other internal product & engineering teams to align data platform capabilities with product and business needs.
Own and enforce data quality, schema evolution, data contract practices, and governance standards.
Provide technical leadership, mentor junior engineers, and contribute to cross-functional architectural decisions.

We'd love to explore more about you if you have

8+ years of experience building large-scale data systems; preferably in high-ingestion, multi-source environments.
Strong system design, debugging, and performance tuning skills.
Strong programming skills in Python and Java.
Deep understanding of SQL (Postgres, MySQL) and data modeling (star/snowflake schema, normalization/denormalization).
Hands-on experience with streaming platforms like Kafka and GCP Pub/Sub.
Expertise with Airflow or similar orchestration frameworks.
Solid experience with Snowflake, Postgres, and distributed storage design.
Familiarity with Celery for asynchronous task processing.
Comfortable working with ElasticSearch for data indexing and querying.
Exposure to Redash, Metabase, or similar BI/analytics tools.
Proven experience deploying solutions on cloud platforms like GCP or AWS.

Preferred Attributes-Experience with data governance and lineage tools.Demonstrated ability to handle scale, reliability, and incident response in data systems.Excellent communication and stakeholder management skills.Passion for mentoring and growing engineering talent.
To learn more visit : https://thelevel.ai/Funding : https://www.crunchbase.com/organization/level-aiLinkedIn : https://www.linkedin.com/company/level-ai/Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s","hiringOrganization":{"@type":"Organization","name":"Level AI","sameAs":"https://thelevel.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Noida","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Lead Software Engineer - Data & Platform Engineering","datePosted":"2025-08-05","description":"

About this role:

We are a leading financial institution seeking a Lead Software Engineer to drive the design and development of resilient, scalable, and mission-critical systems. This role is ideal for a hands-on technologist with a passion for data platforms, cloud-native architectures, and building solutions that directly impact millions of customers' financial well-being.

In this role, you will:

Lead the design and implementation of modern data platforms and services across cloud and on-prem environments
Champion data architecture best practices including modeling, lineage, governance, and data quality
Design and build APIs and service layers on top of operational data platforms to enable real-time and batch data access
Collaborate with cross-functional teams including architects, developers, product owners, and offshore teams
Guide modernization and transformation initiatives, ensuring alignment with long-term strategic goals
Design and implement Kafka-based streaming solutions for real-time data processing
Provide hands-on leadership in the development of data products and reusable components
Act as a technical liaison between business and engineering teams to ensure scalable and sustainable solutions.

Required Qualifications:

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Data engineering to include Hadoop, Kafka Streams, Spark, and ETL frameworks
4+ years Data modeling with proficiency in conceptual, logical, and physical data modeling for both OLTP and OLAP systems
4+ years Streaming & Messaging experience to include hands-on experience with Kafka, including stream processing and event-driven architecture
4+ years of expertise in RDBMS, complex SQL, performance tuning, and optimization
4+ years of experience in large-scale batch operations, processing and scheduling tools
4+ years Scripting & Automation experience to include proficiency in UNIX shell scripting and automation of data workflows
4+ years of API development; designing and implementing RESTful APIs and service layers over operational data stores
2+ years of Cloud experience with Azure or GCP; experience setting up cloud-native data platforms

Desired Qualifications:

3 years of experience in a lead or architect role
Legacy systems experience; familiarity with Mainframe technologies (COBOL, DB2, IMS) and modernization strategies
Proven experience leading cross-functional engineering teams
Agile and/or Waterfall development experience
Strong communication and stakeholder management skills
Strategic thinking with a focus on long-term platform stability and scalability
Passion for innovation, continuous learning, and mentoring junior engineers
Bachelor’s or master’s degree in computer science, engineering, or related field
Financial services or regulated industry experience is a strong plus

Job Expectations:

Position is not open to visa sponsorship either now or in the future
This position offers a hybrid work schedule
Relocation assistance is not available for this position

Locations:

300 S. Brevard St., Charlotte, North Carolina
194 S. Wood Ave., Iselin, New Jersy

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$119,000.00 - $224,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Posting End Date:

6 Aug 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"112265-NJ-MetroPark, Iselin, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Staff Software Engineer, Search - Data Platform","datePosted":"2025-08-06","description":"

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Data Platform group provides data serving infrastructure, including data warehouse analytics, streaming analytics, and search capabilities. This infrastructure is supported by internally developed distributed services as well as popular open-source technologies such as Trino, Apache Pinot, and Elasticsearch. The systems owned by the group serve the data needs of thousands of people throughout the company.

The Search India team, newly formed in 2025, is responsible for owning and managing all of Stripe's usage of Elasticsearch. This responsibility includes a complex ingestion pipeline that uses Kafka, Flink, and Stripe's internal Java-based framework. The team also manages multiple query layers on top of Elasticsearch and a control plane for the search functionality. The infrastructure developed by the team powers all of Stripe's public-facing Search API, the merchant-facing Dashboard search, various list views, and numerous internal use cases.

What you’ll do

We are seeking a Staff Engineer to be a force multiplier for our new Search India team. The ideal candidate will have a proven track record of leading impactful, large-scale, cross-team initiatives. This experience is crucial as you will guide the team on complex Search projects and set the technical direction. As a tech lead, you will be a key contributor to the Search platform's evolution, directly influencing how Stripe utilizes its data lake for search functionality.

Staff Engineers at Stripe operate with autonomy and are empowered to make high-impact decisions. You will guide our investments and strategy for Search, ensuring our systems are reliable, secure, and user-friendly. You will also work closely with other technical staff and senior leadership across Stripe's data platform, with opportunities to significantly influence the company's overall Search and data strategy. Your work will be critical to accelerating new business opportunities and putting the global economy within everyone's reach, in line with Stripe's mission to \"increase the GDP of the internet\".

Responsibilities

Lead and scope large technical projects that have a significant impact on Stripe's search functionality for both engineers and the business.
Scrutinize and clearly reason about technology and architecture choices, and in many cases, act as the final decision-maker.
Arbitrate critical decisions by considering software best practices, Stripe's system realities, and the preferences and concerns of various stakeholders.
Advise Stripe's leadership team on key technical considerations related to Search, data storage, and access.
Work closely with the open-source community to identify opportunities to adopt new features, such as those related to Elasticsearch, and contribute back to open-source software.
Contribute directly to core interface design and write code, while also serving as a role model for software development best practices at Stripe by providing high-quality code reviews to the new Search India team.
Work effectively across teams and mentor the next generation of technical leaders at Stripe.
Be empowered to make decisions with a large impact on Stripe and guide the company's investments and strategy for Search.
Operate autonomously and help drive Stripe forward.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

Have a strong technical background with over 8 years of experience in data platform and backend development.
Possess deep expertise in building and operating complex, high-performance search systems.
Have experience with search engines like OpenSearch/ElasticSearch and streaming systems like Kafka and Flink.
Have served as a technical lead for an organization and can demonstrate broad technical leadership.
Listen well and internalize the best ideas from all over the organization while also setting a compelling vision that others are excited to get behind.
Work well cross-functionally and are trusted by coworkers at all levels and across all teams.

Preferred qualifications

Have been a Staff, Principal, or Distinguished Engineer at a top-tier company.
Have owned the technical roadmap for a Search-related business area.
Are often cited as the inspiration for engineers that join your teams. Even more senior engineers feel that they are able to learn from you.

\n\n

\n In-office expectations\n

\n\n\n Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.\n \n\n\n

\n Pay and benefits\n

\n\n\n

Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.

\n\n\n\n

\n We look forward to hearing from you\n

\n\n\n At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.","hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/en-ch"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Lead Software Engineer, Customer Data Platform","datePosted":"2025-08-06","description":"

Company Description

About Grab and Our Workplace

Job Description

Get to Know the Team

Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability, real-time personalization, and business analytics by processing tens of billions of events per hour at petabyte scale.
Customer Data Platform (CDP) enables Grab Teams to onboard and register Grab's customer data and make it available for Online Serving, ML Models, Segmentation, and Real Time targeting to power personalization use cases across the company. Our platform is leveraged across many mission-critical Grab services such as app personalization, experimentation, ads serving, and marketing.

Get to Know the Role

We are looking for a Technical Lead for either Scribe or CDP team that has a strong breadth of different technical stacks:

Web Portal: React.JS and Golang Backend.
Online Serving: AWS infrastructure, MySQL, Redis, AWS Dynamo DB, Scylla DB.
Data Processing / Storage: Apache Flink, Apache Spark, Trino, StarRocks, Hive, Delta Lake.
Applied AI / ML: LLM, Python Backend, Vector DB.

The role will report to Engineering Manager in Singapore and work onsite at Grab Vietnam office (District 7, HCMC).

The Critical Tasks You Will Perform

Build platform capabilities to facilitate scalable onboarding of user data that can be easily re-used across the company.
Improve the serving capabilities of CDP's user data.
Develop scalable real-time data pipelines and architecture that is cost efficient, while allowing non-technical teams to use these real-time capabilities.
Lead and mentor an engineering team with diverse technical stacks.

Qualifications

What Essential Skills You Will Need

Software Engineering, Computer Science, or related undergraduate degree.
Minimum of 7+ years of experience in Software Engineering with well-proven track record of leading an engineering team with diverse skillsets.
Proficient in at least one of the following programing languages: Python, Go, or Scala
Experience developing large scale backend systems and has good understanding of technical trade offs and evaluations needed to enable high load, low latency systems, while maintaining system reliability and cost efficiency.
Experience building software leveraging AI / ML & data modeling
Strong English communications with prior work experience in regional & global environment

Desirable Experience:

Experience with Apache Flink (for real-time processing) and Apache Spark (for batch processing).
Proficiency in CI/CD tools, AWS, Terraform, and Kubernetes.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

We have your back with Term Life Insurance and comprehensive Medical Insurance.
With GrabFlex, create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What we stand for at Grab

Overview

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Our office is in Sydney, Australia, but we offer flexibility for eligible candidates to work remotely across Australia. Whatever your preference - working from home, an office, or in between - you can choose the place that's best for your work and your lifestyle. We call this TEAM anywhere.

Responsibilities

As a Senior Software Engineer, you will play a critical role in designing, building, and optimizing high-performance, scalable, and resilient backend storage solutions on AWS cloud infrastructure. You will be responsible for developing distributed storage systems, APIs, and backend services that power mission-critical applications, ensuring low-latency, high-throughput, and fault-tolerant data storage. Your work will directly impact system reliability, scalability, and cost efficiency.

You will collaborate closely with principal engineers, architects, SREs, and product teams to define technical roadmaps, improve storage efficiency, and optimize access patterns. You will drive performance tuning, data modeling, caching strategies, and cost optimization across AWS storage services like S3, DynamoDB, EBS, EFS, FSx, and Glacier. Additionally, you will contribute to infrastructure automation, security best practices, and monitoring strategies using tools like Terraform, CloudWatch, Prometheus, and OpenTelemetry.

In this role, you will also be responsible for troubleshooting and resolving production incidents related to data integrity, latency spikes, and storage failures, ensuring high availability and disaster recovery preparedness. You will mentor junior engineers, participate in design reviews and architectural discussions, and advocate for engineering best practices such as CI/CD automation, infrastructure as code, and observability-driven development. Your contributions will directly impact the organization's ability to scale its storage infrastructure efficiently while maintaining security, reliability, and compliance with industry standards.

Qualifications

Basic Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
5+ years of experience in backend software development.
3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or Glacier).
3+ years of experience in designing and developing distributed systems or high-scale backend services.
Strong programming skills in Kotlin
Experience working in agile environments following DevOps and CI/CD best practices.

Core Requirements

Strong Backend Development Skills
- Proficiency in Kotlin, Java for backend development.
- Experience building high-performance, scalable microservices and APIs.
- Strong understanding of RESTful APIs, gRPC, and event-driven architectures.
Experience with AWS Storage Technologies
- Hands-on experience with AWS S3, DynamoDB, EBS, EFS, FSx, and Glacier.
- Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions.
- Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance.
Distributed Systems & Scalability
- Solid understanding of distributed databases, storage consistency models, and caching mechanisms.
- Experience with sharding, partitioning, and load balancing to scale storage-heavy applications.
- Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka.
Performance Optimization & Cost Efficiency
- Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.
- Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication.
- Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana).
Security & Reliability
- Experience implementing data encryption at rest and in transit using AWS KMS or TLS.
- Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions).
- Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.
Hands-On with Infrastructure as Code (IaC) & DevOps
- Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure.
- Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins.
- Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate).
Troubleshooting & Production Support
- Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks.
- Experience using observability and tracing tools to monitor storage workloads.
- Ability to triage and resolve production incidents in large-scale backend systems.
Collaboration & Engineering Best Practices
- Strong experience in code reviews, unit testing, and API contract enforcement.
- Ability to work cross-functionally with SREs, data engineers, and infrastructure teams.
- Good documentation habits for ensuring architecture decisions and design patterns are well-documented.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Responsibilities

About the team
Aeolus is a data analysis product developed by ByteDance that combines data insight and preparation. With the massive amount of data generated from ByteDance's business growth, there is a strong demand for intelligent insights to extract valuable information from this data, as well as the ability to process it in conjunction with business personnel and data teams. Traditional data analysis products have not provided satisfactory solutions for these pain points. Aeolus provides detailed query capabilities under massive amounts of data, intelligent insight and attribution capabilities under massive amounts of data, and low-threshold processing capabilities for internal employees at ByteDance.

Responsibilities:
- Engage in the development of analytics and business intelligence (ABI) products.
- Collaborate with team members to deliver user-friendly and performant applications to our end users.
- Actively research, experiment, iterate and improve product architecture to ensure high quality and robustness in our enterprise-grade platforms.
- Adopt automated and manual test strategies to ensure product quality before delivery.
- Learn and understand how ABI works to suggest and help build end-to-end solutions.

Qualifications

Minimum Qualifications:
- Bachelor's Degree in Computer Science or related discipline.
- Expertise in fundamental web development technologies (TypeScript/JavaScript, HTML, CSS).
- Expertise in one of the modern web frameworks (React, Vue, Angular, etc).
- Expertise in web API design and development (REST, GraphQL).
- Experience in designing and writing automated tests.
- Experience working with CI/CD.

Preferred Qualifications:
- At least 1 year of industry experience in professional software development.
- Good communication and interpersonal skills.

Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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About this role:

In this role, you will:

Lead the design and implementation of modern data platforms and services across cloud and on-prem environments
Champion data architecture best practices including modeling, lineage, governance, and data quality
Design and build APIs and service layers on top of operational data platforms to enable real-time and batch data access
Collaborate with cross-functional teams including architects, developers, product owners, and offshore teams
Guide modernization and transformation initiatives, ensuring alignment with long-term strategic goals
Design and implement Kafka-based streaming solutions for real-time data processing
Provide hands-on leadership in the development of data products and reusable components
Act as a technical liaison between business and engineering teams to ensure scalable and sustainable solutions.

Required Qualifications:

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Data engineering to include Hadoop, Kafka Streams, Spark, and ETL frameworks
4+ years Data modeling with proficiency in conceptual, logical, and physical data modeling for both OLTP and OLAP systems
4+ years Streaming & Messaging experience to include hands-on experience with Kafka, including stream processing and event-driven architecture
4+ years of expertise in RDBMS, complex SQL, performance tuning, and optimization
4+ years of experience in large-scale batch operations, processing and scheduling tools
4+ years Scripting & Automation experience to include proficiency in UNIX shell scripting and automation of data workflows
4+ years of API development; designing and implementing RESTful APIs and service layers over operational data stores
2+ years of Cloud experience with Azure or GCP; experience setting up cloud-native data platforms

Desired Qualifications:

3 years of experience in a lead or architect role
Legacy systems experience; familiarity with Mainframe technologies (COBOL, DB2, IMS) and modernization strategies
Proven experience leading cross-functional engineering teams
Agile and/or Waterfall development experience
Strong communication and stakeholder management skills
Strategic thinking with a focus on long-term platform stability and scalability
Passion for innovation, continuous learning, and mentoring junior engineers
Bachelor’s or master’s degree in computer science, engineering, or related field
Financial services or regulated industry experience is a strong plus

Job Expectations:

Position is not open to visa sponsorship either now or in the future
This position offers a hybrid work schedule
Relocation assistance is not available for this position

Locations:

300 S. Brevard St., Charlotte, North Carolina
194 S. Wood Ave., Iselin, New Jersy

Pay Range

$119,000.00 - $224,000.00

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Posting End Date:

14 Aug 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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Job Description

It’s about creating solutions that help people.

Do others often ask you for technology advice and assistance? Are you always looking for innovative ways to help people? Do you like having the autonomy to build new solutions from the ground up? If so, being a Software Engineer II at Frost could be the job for you.

At Frost, it’s about more than a job. It’s about having a flourishing career where you can thrive, both in and out of work. At Frost, we’re committed to fostering an environment that reflects our values and encourages team members to be the best they can be. In joining our adaptable, integrity-driven team, you’ll become part of Frost’s over 150-year legacy of providing unparalleled banking services.

Who you are:

As a Software Engineer II - Customer Data Platform at Frost, you are our code guru, not only configuring the systems but understanding the why’s behind them. Our software engineers believe in collaboration, ingenuity, and truly want to drive design and change in the IT realm. In this role, you will be responsible for designing, configuring, testing, implementing, supporting, and documenting solutions for assigned applications across the organization. You welcome a challenge and want to provide next level experiences to every individual that uses our systems.

What you’ll do:

Design, write, test, implement, and document solutions for assigned program modules
Collaborate with project teams and other Software Engineers to provide technical support
Support assigned IT systems/applications by troubleshooting and resolving defects
Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes

What you’ll need:

Bachelor’s degree in Computer Science, Engineering, in a related field, or equivalent experience
Demonstrated ability to independently identify program issues and develop the appropriate solution, typically requiring at least 2 years of experience
Proficiency in programming languages such as Python
Experience with streaming technologies like Kafka, Kinesis, or Spark Streaming
Strong understanding of data modeling, data warehousing, and SQL/NoSQL databases
Familiarity with cloud platforms such as AWS, GCP, or Azure
Experience working with ETL tools, data pipelines, and customer data platforms

Additional Preferred Skills:

Strong understanding of commonly-used concepts, practices, and procedures associated with programming
Experience with CDP vendors such as Treasure Data, Blue conic, Tealium or Segment.
Understanding of marketing technology (MarTech) stack and tools.
Familiarity with event-driven architecture and microservices.
Prior experience working in agile development environments
AI foundational skills ( Gen Ai, MCP, A2A, Adk or others )

Our Benefits:

At Frost, we care about your health, your family, and your future and strive to have our benefits reflect that. This includes:

Medical, dental, vision, long-term disability, and life insurance
401(k) matching
Generous holiday and paid time off schedule
Tuition reimbursement
Extensive health and wellness programs, including our Employee Assistance Program
Referral bonus program + more!

Since 1868, Frost has dedicated their expertise to provide exceptional banking, investment, and insurance services to businesses and individuals throughout Texas. Frost is one of the 50 largest U.S. banks by asset size and is a leader in banking customer satisfaction. At Frost, it’s about being part of something bigger. If this sounds like you, we encourage you to apply and see what’s possible at Frost.

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About this role:

In this role, you will:

Lead the design and implementation of modern data platforms and services across cloud and on-prem environments
Champion data architecture best practices including modeling, lineage, governance, and data quality
Design and build APIs and service layers on top of operational data platforms to enable real-time and batch data access
Collaborate with cross-functional teams including architects, developers, product owners, and offshore teams
Guide modernization and transformation initiatives, ensuring alignment with long-term strategic goals
Design and implement Kafka-based streaming solutions for real-time data processing
Provide hands-on leadership in the development of data products and reusable components
Act as a technical liaison between business and engineering teams to ensure scalable and sustainable solutions.

Required Qualifications:

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of Data engineering to include Hadoop, Kafka Streams, Spark, and ETL frameworks
4+ years Data modeling with proficiency in conceptual, logical, and physical data modeling for both OLTP and OLAP systems
4+ years Streaming & Messaging experience to include hands-on experience with Kafka, including stream processing and event-driven architecture
4+ years of expertise in RDBMS, complex SQL, performance tuning, and optimization
4+ years of experience in large-scale batch operations, processing and scheduling tools
4+ years Scripting & Automation experience to include proficiency in UNIX shell scripting and automation of data workflows
4+ years of API development; designing and implementing RESTful APIs and service layers over operational data stores
2+ years of Cloud experience with Azure or GCP; experience setting up cloud-native data platforms

Desired Qualifications:

3 years of experience in a lead or architect role
Legacy systems experience; familiarity with Mainframe technologies (COBOL, DB2, IMS) and modernization strategies
Proven experience leading cross-functional engineering teams
Agile and/or Waterfall development experience
Strong communication and stakeholder management skills
Strategic thinking with a focus on long-term platform stability and scalability
Passion for innovation, continuous learning, and mentoring junior engineers
Bachelor’s or master’s degree in computer science, engineering, or related field
Financial services or regulated industry experience is a strong plus

Job Expectations:

Position is not open to visa sponsorship either now or in the future
This position offers a hybrid work schedule
Relocation assistance is not available for this position

Locations:

300 S. Brevard St., Charlotte, North Carolina
194 S. Wood Ave., Iselin, New Jersy

Pay Range

$119,000.00 - $224,000.00

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Posting End Date:

19 Aug 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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Teamworks, the Operating System for Sports™, powers more than 6,500 sports organizations worldwide, including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located in over a dozen different countries, Teamworks' software solutions drive the operations of the most recognizable sports properties in the world.

We are seeking a Senior Software Engineer to join our Data Platform team, a critical connector team that integrates across multiple internal systems and teams. In this full-stack role with a strong backend focus, you'll be working on our Data Engine, powering our Intelligence, Performance, Personnel, and Operations product suites. You'll collaborate with teams across the organization to build scalable data solutions for internal products, and external customers.

This is an exciting opportunity to help shape the future of athlete performance management in one of the fastest-growing companies in sports tech.

Game Plan - How You'll Drive Impact:

Design and build robust backend systems using Python for data platform engineering, handling high-volume data processing and integration
Develop and maintain data pipelines using Kafka and other streaming technologies to support real-time data flow across multiple systems
Build and optimize APIs that serve as integration points between various internal teams and external systems
Work on full-stack features including React Native applications and frontend interfaces for data visualization and user matching algorithms
Collaborate with internal data engineering experts and cross-functional teams to deliver scalable data solutions
Make architectural decisions and navigate technical trade-offs, focusing on system design and integration patterns
Mentor junior engineers and contribute to engineering best practices and code quality standards
Support the team's mission as a connector between multiple internal groups, ensuring seamless data flow and system interoperability

Player Profile - What You Bring to the Team:

Strong backend development experience, including Python (Flask, FastAPI, Sanic) with proven ability to build scalable services
Solid experience with data technologies, including Kafka, message queues, and API development
Understanding of systems design and distributed architecture, with the ability to work on complex integration challenges
Experience with full-stack development, including some familiarity with React Native or similar mobile/frontend technologies
Track record of building scalable backend systems that handle data processing and integration workflows
Strong problem-solving skills with the ability to work in a dynamic, fast-paced environment
Collaborative mindset with experience working across multiple teams and technical stacks

The Ideal Recruit - Skills & Experience:

Experience with data platform engineering, ETL pipelines, and data infrastructure
Knowledge of event-driven architecture and microservices patterns
Familiarity with cloud platforms (AWS, GCP, Azure) and modern deployment practices
Understanding of database technologies, both SQL and NoSQL, with experience in data modeling
Experience with containerization technologies (Docker, Kubernetes) and CI/CD practices
Background working in connector or platform teams that integrate across multiple systems
Bonus: Experience with data analytics tools, machine learning pipelines, or sports/performance data

Champion Mindset - Traits for Success:

Strong analytical and creative problem-solving skills with a focus on architectural soundness
Takes initiative, proactively manages multiple priorities, and works well under pressure
Delivers fast but carefully thought-out, high-quality results
Structured, organized, and efficient work style
Excellent communication skills with the ability to work across different teams and technical domains
Mentorship mindset with willingness to support team growth and knowledge sharing
Aligned with our core values: honesty, humility, hard work, commitment, innovation, and exceptionalism

The Perks of Playing for Teamworks:

At Teamworks, you’re not just joining a company—you’re joining a team that’s shaping the future of sports. We believe that success starts with investing in our people, and here’s how we support and reward every teammate:

Play to Win: Grow your career as we grow. Shape the future of sports technology while building a career that scales with your ambition.
Winning Culture: Join a global team of high achievers, innovators, and problem solvers who value teamwork and humility.
Competitive Compensation: Earn a competitive salary, performance-based incentives, and equity so you share in our success.
Comprehensive Benefits: Access region-specific benefits designed to support your well-being, including health coverage, life and disability insurance, retirement plans, unlimited paid time off, flexible and remote work options, catered lunches (where applicable), and more.
Investing in Your Growth: Receive stipends for learning and development, home office equipment, and company gear to set you up for success—no matter where you are in the world.

Compensation Philosophy:

For this role, the salary target is $180,000, with your final offer determined by your experience, skills, and interview performance. Every Teamworks teammate is an owner, with equity aligning your success with ours.

We’ve built our compensation framework to attract, retain, and reward top performers. We believe in pay for performance, ensuring that your growth and impact are reflected in your rewards. As Teamworks grows, so do your opportunities—whether that’s through advancing your career, contributing to game-changing innovations, or building long-term financial security.

We continuously review and refine our compensation practices to ensure fairness and alignment with both company goals and individual aspirations. We encourage open discussions about career growth and compensation, and your hiring manager is always available to answer your questions.

At Teamworks, we’re committed to supporting you in and out of the game—empowering you to do your best work while enjoying meaningful rewards.

Inside our Locker Room:

Teamworks is the leading operating system for elite sports, empowering organizations worldwide to optimize performance, streamline operations, and unlock athlete potential. Founded in 2006, we’ve grown from a messaging platform for collegiate football into a global leader with over $165 million in funding and a technology suite that supports every phase of the athlete lifecycle.

Our solutions span four key categories:

Personnel: Manage the complete roster lifecycle, from recruiting and NIL management to financial operations.
Performance: Optimize athlete health and training with advanced tools for nutrition, strength & conditioning, and holistic performance tracking.
Operations: Streamline logistics, communication, compliance, and inventory management to keep teams running efficiently.
Intelligence: Leverage data-driven insights to inform decisions and maximize competitive advantage across professional and collegiate sports.

At Teamworks, we’re driven by innovation and a passion for sports. We serve more than 6,500 sports organizations globally, helping teams achieve excellence on and off the field. Join us and be part of the future of sports technology.

Our offices are open for work, collaboration, and optional team-building events – but as a remote-first company, we also have teammates working from places across the globe, including New York, London, Perth, and Austin.

What to Expect When Interviewing at Teamworks

Our interview process is designed to be transparent, engaging, and reflective of our team culture. You can expect authentic conversations, clear steps, and the opportunity to connect with key team members. We encourage you to ask questions and get to know us as much as we get to know you.

Learn more about our process here.

Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email hiring@teamworks.com.

To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamwork employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

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Overview

Responsibilities

Qualifications

Basic Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
5+ years of experience in backend software development.
3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or Glacier).
3+ years of experience in designing and developing distributed systems or high-scale backend services.
Strong programming skills in Kotlin
Experience working in agile environments following DevOps and CI/CD best practices.

Core Requirements

Strong Backend Development Skills
- Proficiency in Kotlin, Java for backend development.
- Experience building high-performance, scalable microservices and APIs.
- Strong understanding of RESTful APIs, gRPC, and event-driven architectures.
Experience with AWS Storage Technologies
- Hands-on experience with AWS S3, DynamoDB, EBS, EFS, FSx, and Glacier.
- Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions.
- Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance.
Distributed Systems & Scalability
- Solid understanding of distributed databases, storage consistency models, and caching mechanisms.
- Experience with sharding, partitioning, and load balancing to scale storage-heavy applications.
- Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka.
Performance Optimization & Cost Efficiency
- Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.
- Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication.
- Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana).
Security & Reliability
- Experience implementing data encryption at rest and in transit using AWS KMS or TLS.
- Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions).
- Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.
Hands-On with Infrastructure as Code (IaC) & DevOps
- Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure.
- Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins.
- Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate).
Troubleshooting & Production Support
- Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks.
- Experience using observability and tracing tools to monitor storage workloads.
- Ability to triage and resolve production incidents in large-scale backend systems.
Collaboration & Engineering Best Practices
- Strong experience in code reviews, unit testing, and API contract enforcement.
- Ability to work cross-functionally with SREs, data engineers, and infrastructure teams.
- Good documentation habits for ensuring architecture decisions and design patterns are well-documented.

Benefits & Perks

About Atlassian

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Overview

Responsibilities

Qualifications

Basic Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
5+ years of experience in backend software development.
3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or Glacier).
3+ years of experience in designing and developing distributed systems or high-scale backend services.
Strong programming skills in Kotlin
Experience working in agile environments following DevOps and CI/CD best practices.

Core Requirements

Strong Backend Development Skills
- Proficiency in Kotlin, Java for backend development.
- Experience building high-performance, scalable microservices and APIs.
- Strong understanding of RESTful APIs, gRPC, and event-driven architectures.
Experience with AWS Storage Technologies
- Hands-on experience with AWS S3, DynamoDB, EBS, EFS, FSx, and Glacier.
- Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions.
- Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance.
Distributed Systems & Scalability
- Solid understanding of distributed databases, storage consistency models, and caching mechanisms.
- Experience with sharding, partitioning, and load balancing to scale storage-heavy applications.
- Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka.
Performance Optimization & Cost Efficiency
- Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.
- Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication.
- Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana).
Security & Reliability
- Experience implementing data encryption at rest and in transit using AWS KMS or TLS.
- Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions).
- Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.
Hands-On with Infrastructure as Code (IaC) & DevOps
- Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure.
- Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins.
- Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate).
Troubleshooting & Production Support
- Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks.
- Experience using observability and tracing tools to monitor storage workloads.
- Ability to triage and resolve production incidents in large-scale backend systems.
Collaboration & Engineering Best Practices
- Strong experience in code reviews, unit testing, and API contract enforcement.
- Ability to work cross-functionally with SREs, data engineers, and infrastructure teams.
- Good documentation habits for ensuring architecture decisions and design patterns are well-documented.

Benefits & Perks

About Atlassian

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

Position Summary

Join a revolutionary team of Distributed Cloud Data platform, Analytics, Cloud service specialists to build core data system, analytics, telemetry, AI/ Generative AI powered services at scale in the growing field of multi-cloud SaaS (Software as a Service), Security and Multi Cloud Networking solutions.

We are looking for a Sr Principal Engineer to join our Data platform and service team to accelerate data platform and data and telemetry missions in the F5 Distributed Cloud Platform Group.

As a critical member of the Distributed Cloud Data engineering team, you will be responsible for the architecture, design and development of the data systems and data services for the new landscape of F5 SaaS products.

Responsibilities

Build F5 Distributed Cloud data system and management systems.

Innovate/ design/ develop data, analytics, AI/Gen AI powered service on SaaS platform.

Architect/ design/develop telemetry and metrics pipeline and services.

As a subject-matter expert on data system, AI/ ML (Machine Learning), cloud service, networking, and security, work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud and SaaS product delivery.

Required Qualifications

Bachelor’s degree (or above, Graduate degree preferred) in computer science or equivalent professional experience (Sr Principal level with 12+ years).

Extensive experience in Data platform and SaaS products with principal or architect roles.

Experience in data systems, data services, observability, telemetry architecture for cloud services.

Proficiency in Cloud service development and programming languages such as GO, Java, Python, C++, Rust, WASM.

Deep knowledge and experience with data/ stream processing (e.g., Kafka, Pubsub, Dataflow, Vector), database and data warehouse (e.g., ClickHouse, StarRocks, Elasticsearch, Big Query, Redis), analytics and AI platform (e.g. Databricks, Snowflake)

Experience with data driven, ML/AI, Generative AI powered applications in security, networking, telemetry, AI/BI, product growth and engineering productivity.

Experience with logging, metrics, tracing, Prometheus, Open Telemetry, and pipeline.

Experience with data system quality, monitoring, and performance.

Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting.

Experience with container and orchestration technologies, Kubernetes and Microservice.

Experience with automation and cloud Infra, tooling, workload, modern CI/CD.

#LI-ZB1

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

The annual base pay for this position is: $207,279.00 - $310,919.00

F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.

You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

","hiringOrganization":{"@type":"Organization","name":"F5","sameAs":"https://www.f5.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Senior or Staff Software Engineer, Data Platform","datePosted":"2025-08-03","description":"

The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As a Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

The impact you’ll have here:

Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

What we’re looking for:

Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:\n
- In-depth experience with data stores such as ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j.
- Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm.
- Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
- Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
- Proven ability in loading, querying, and transforming extensive datasets
\n

About the Team:

The Data Platform team is the funnel between all of TRM's data world and product world. We care about all layers of stack including petabyte of data stores, pipelines, and processes.
We have quite a big scope as a the team with new and exciting projects every quarter. As a result, we collaborate across the board with most teams at TRM.
We believe in async communication and are also not afraid to jump on a quick huddle if that helps to move things faster. We are both scrappy when the situation demands and also process-oriented when we need to achieve our OKRs.
We are always looking for people who can elevate the quality our tech and our execution. If you enjoy a remote-first and async friendly environment to achieve efficacy and efficiency at petabyte scale, our team could be a great pick for you!
Team members are based in the US across almost all timezones! Our on-call tends to be in EST/PST shift, whatever suits you the best.
We do try to reserve some overlap in the day for meetings. Our north star - no IC spends more than 3-4 hours/week in meetings.

Learn about TRM Speed in this position:

Build scalable engines to optimize routine scaling and maintenance tasks like create self-serve automation for creating new pgbouncer, scaling disks, scaling/updating of clusters, etc.
Enable tasks to be faster next time and reducing dependency on a single person.
Identify ways to compress timelines using 80/20 principle. For instance, what does it take to be operational in a new environment? Identify the must have and nice to haves that are need to deploy our stack to be fully operation. Focus on must haves first to get us operational and then use future milestones to harden for customer readiness. We think in terms of weeks and not months.
Identify first version, a.k.a., \"skateboards\" for projects. For instance, build an observability dashboard within a week. Gather feedback from stakeholders after to identify more needs or bells and whistles to add to the dashboard.

About TRM's Engineering Levels:

Life at TRM Labs

Leadership Principles

Our LPs are foundational elements of our strategy, guiding how we make decisions, how we treat each other, and how we behave day-to-day.

Impact-Oriented Trailblazer – We put customers first, driving for speed, focus, and adaptability.
Master Craftsperson – We prioritize speed, high standards, and distributed ownership.
Inspiring Colleague – We value humility, candor, and a one-team mindset.

Accelerate your Career

Join a mission-driven team of industry leaders and make a real-world impact—disrupting terrorist networks, recovering stolen funds, and more. At TRM, you will:

Work alongside top experts and learn every day.
Embrace a growth mindset with development opportunities tailored to your role.
Take on high-impact challenges in a fast-paced, collaborative environment.
Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. We expect everyone to both give and receive feedback as part of how we get better—together.

What to Expect at TRM

To support this intensity, we’re also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees.

That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to:

Ask your interviewers how they personally approach balance within their teams, and
Reflect on whether this is the right season in your life to join a high-velocity environment.
Be honest with yourself about what energizes you—and what drains you

We’re upfront about this because we want every new team member to thrive—not just survive.

Thrive as a Global Team

As a remote-first company, TRM Labs is built for global collaboration.

We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships.
We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration.
By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values.

Join our mission!

Recruitment agencies

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy

Learn More: Company Values | Interviewing | FAQs

","hiringOrganization":{"@type":"Organization","name":"TRM Labs","sameAs":"https://www.trmlabs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil - Remote","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Senior Backend Software Engineer - Transactional Data Platform","datePosted":"2025-08-07","description":"

Overview

Responsibilities

Qualifications

Basic Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
5+ years of experience in backend software development.
3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or Glacier).
3+ years of experience in designing and developing distributed systems or high-scale backend services.
Strong programming skills in Kotlin
Experience working in agile environments following DevOps and CI/CD best practices.

Core Requirements

Strong Backend Development Skills
- Proficiency in Kotlin, Java for backend development.
- Experience building high-performance, scalable microservices and APIs.
- Strong understanding of RESTful APIs, gRPC, and event-driven architectures.
Experience with AWS Storage Technologies
- Hands-on experience with AWS S3, DynamoDB, EBS, EFS, FSx, and Glacier.
- Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions.
- Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance.
Distributed Systems & Scalability
- Solid understanding of distributed databases, storage consistency models, and caching mechanisms.
- Experience with sharding, partitioning, and load balancing to scale storage-heavy applications.
- Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka.
Performance Optimization & Cost Efficiency
- Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.
- Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication.
- Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana).
Security & Reliability
- Experience implementing data encryption at rest and in transit using AWS KMS or TLS.
- Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions).
- Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.
Hands-On with Infrastructure as Code (IaC) & DevOps
- Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure.
- Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins.
- Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate).
Troubleshooting & Production Support
- Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks.
- Experience using observability and tracing tools to monitor storage workloads.
- Ability to triage and resolve production incidents in large-scale backend systems.
Collaboration & Engineering Best Practices
- Strong experience in code reviews, unit testing, and API contract enforcement.
- Ability to work cross-functionally with SREs, data engineers, and infrastructure teams.
- Good documentation habits for ensuring architecture decisions and design patterns are well-documented.

Overview

Responsibilities

Qualifications

Basic Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
5+ years of experience in backend software development.
3+ years of hands-on experience working with AWS cloud services, particularly AWS storage technologies (S3, DynamoDB, EBS, EFS, FSx, or Glacier).
3+ years of experience in designing and developing distributed systems or high-scale backend services.
Strong programming skills in Kotlin
Experience working in agile environments following DevOps and CI/CD best practices.

Core Requirements

Strong Backend Development Skills
- Proficiency in Kotlin, Java for backend development.
- Experience building high-performance, scalable microservices and APIs.
- Strong understanding of RESTful APIs, gRPC, and event-driven architectures.
Experience with AWS Storage Technologies
- Hands-on experience with AWS S3, DynamoDB, EBS, EFS, FSx, and Glacier.
- Knowledge of AWS IAM, KMS, and data access policies for secure storage solutions.
- Understanding of AWS networking (VPC, PrivateLink, Route 53) for optimizing storage performance.
Distributed Systems & Scalability
- Solid understanding of distributed databases, storage consistency models, and caching mechanisms.
- Experience with sharding, partitioning, and load balancing to scale storage-heavy applications.
- Familiarity with event-driven architectures using AWS SNS, SQS, Kinesis, or Kafka.
Performance Optimization & Cost Efficiency
- Ability to profile and optimize storage performance, indexing strategies, and data retrieval latencies.
- Experience with cost-efficient storage solutions by implementing tiering, lifecycle policies, and data deduplication.
- Knowledge of benchmarking and monitoring tools (CloudWatch, OpenTelemetry, Prometheus, Grafana).
Security & Reliability
- Experience implementing data encryption at rest and in transit using AWS KMS or TLS.
- Understanding of access control mechanisms (IAM roles, STS, fine-grained permissions).
- Experience ensuring high availability and disaster recovery using AWS backup strategies and multi-region replication.
Hands-On with Infrastructure as Code (IaC) & DevOps
- Experience using Terraform, AWS CloudFormation, or CDK to manage infrastructure.
- Familiarity with CI/CD pipelines for backend deployments using GitHub Actions, CodePipeline, or Jenkins.
- Experience with containerized deployments using Docker, Kubernetes (EKS), and serverless solutions (Lambda, Fargate).
Troubleshooting & Production Support
- Strong debugging skills for investigating storage failures, high-latency issues, and API bottlenecks.
- Experience using observability and tracing tools to monitor storage workloads.
- Ability to triage and resolve production incidents in large-scale backend systems.
Collaboration & Engineering Best Practices
- Strong experience in code reviews, unit testing, and API contract enforcement.
- Ability to work cross-functionally with SREs, data engineers, and infrastructure teams.
- Good documentation habits for ensuring architecture decisions and design patterns are well-documented.

","hiringOrganization":{"@type":"Organization","name":"Atlassian","sameAs":"https://www.atlassian.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney - Australia - Sydney, 2000 Australia; Remote - Remote","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Data Platform, Senior Software Engineer, Enterprise AI","datePosted":"2025-08-19","description":"About Woven by ToyotaWoven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
=========================================================================
TEAMThe Enterprise AI team is dedicated to empowering Toyota and its affiliates with a robust platform for AI innovation. Our mission is to provide a comprehensive, end-to-end machine learning ecosystem that propels the development of groundbreaking projects, such as autonomous driving, within the Toyota Group. As a standardized machine learning platform under Woven by Toyota, we aim to streamline every facet of AI development, from training and inference to MLOps, thereby enhancing the safety, convenience, and autonomy of Toyota vehicles.Within this dynamic environment, the Data Annotation and Labeling Engineering team plays a pivotal role. We design and implement scalable, globally distributed data delivery solutions tailored for Toyota and its partners. Our team is at the forefront of developing both human-assisted and automated data labeling services, and we engage collaboratively across various model development and AI solution initiatives. Through these efforts, we ensure that data is not only accessible but also actionable, driving innovation and efficiency across the enterprise.
WHO ARE WE LOOKING FOR?As the Senior Software Engineer in the Data Annotation and Labeling team you will help scale our data platform with throughput, stability and new features to bring the platform to a wider range of customers. You have a seasoned technical background with strong knowledge in high-performance computing, experience managing large data sets, and software engineering/development.. You will collaborate with our engineering teams and operation teams to improve our products and services.
\n

RESPONSIBILITIES

Solve complex problems, deliver state of the art solutions
Build and maintain high-quality product and development standards with the team
Support for architectural design and execution planning to ensure stable service delivery
Foster a collaborative environment
Work with stakeholders (product managers, customers, and operations) to align on deliverables
Work with other teams to maximize infrastructure usage and build efficient solutions for complex tasks
Provide support such as analysis and monitoring, and act as part of the team for on-call responsibility for production incidents
Report to the function head of Data Annotation and Labeling
Come to the office 3 days per week, following our hybrid work policy

MINIMUM QUALIFICATIONS

5+ years of experience with software development in one or more programming languages commonly used in the AI/ML industry, such as Python (preferred).
2+ years of experience with distributed and/or parallel systems.
Strong understanding of SDLC, Software Engineering, and optimization
Technical leadership
Business-level proficiency in English.

NICE TO HAVES

Open source software contribution
Experience with large Datasets and inferencing them preferably in binary formats, such as Image or Point Cloud data
Advanced knowledge in training or fine-tuning image-based models
Experience with massively parallel computing for general-purpose, or SIMD
Experience with a high-performance computing cluster
Ability to create clear and comprehensive documentation
Master’s degree or PhD in Engineering, Computer Science, or a related technical field

=========================================================================Important Points・All interviews will be arranged via Google Meet, unless otherwise stated.・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
WHAT WE OFFER・Competitive Salary - Based on experience・Work Hours - Flexible working time・Paid Holiday - 20 days per year (prorated)・Sick Leave - 6 days per year (prorated)・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance・Housing Allowance・Retirement Benefits・Rental Cars Support・In-house Training Program (software study/language study)
Our Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.","hiringOrganization":{"@type":"Organization","name":"Woven by Toyota","sameAs":"https://woven.toyota/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo","addressCountry":"Japan","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Data Platform - Hybrid, Poland","datePosted":"2025-08-20","description":"Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. We never get tired of our customers singing our praises because it fuels us to help them continue to achieve remarkable. The next generation of revenue excellence is here…are you ready to achieve remarkable with us?
About the Team The Engineering Team at Clari is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.
About the RoleAs a Software Engineer on the Data Platform team, you will play a pivotal role in developing internal tools that support RevDB — Clari’s complex, large-scale internal data platform. RevDB powers automated schema evolution, ETL transformations, and data normalization at scale. To design effective tools that expose and support these operations, you'll need to develop a deep understanding of RevDB as a product. These tools are essential for enabling internal teams and powering customer-facing administrative features.
You’ll gain deep insight into the intricate ETL and data load processes that drive RevDB. Developing a systematic understanding of how data flows, transforms, and is governed across the platform will be essential to your success. This understanding will allow you to create smarter tools and efficient workflows — a critical competency for long-term growth in this role.
As a Backend Software Engineer, you’ll apply your Java expertise and cloud-native or SaaS experience to design, build, and maintain backend services that power Clari’s high-scale revenue platform. You'll architect highly available and reliable systems, streamline complex data workflows, and contribute to both internal infrastructure and customer-facing functionality. You’ll also mentor fellow engineers and help drive the delivery of robust, high-quality solutions.
This is a hybrid position, which will require the ability to be onsite in our Kraków, Poland office as needed. Candidates must be based in Poland.\n

Responsibilities

Lead the design and development of high-performance, scalable backend services using Java
Architect and implement multi-tenant SaaS solutions that meet enterprise security, reliability, and compliance standards
Develop and optimize data pipelines, APIs, and service-to-service integrations
Work with relational (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB), ensuring data integrity and performance
Drive observability improvements—metrics, logging, and distributed tracing—to ensure system health and reliability
Collaborate cross-functionally with product, DevOps, and data teams to deliver new features and infrastructure enhancements
Perform code reviews, establish best practices, and ensure technical excellence across the team
Troubleshoot and resolve complex performance and production issues
Mentor junior and mid-level engineers, fostering growth and skill development

Qualifications

5+ years of professional experience in backend software development
Strong expertise in Java and object-oriented design principles
Proven track record of designing and delivering scalable SaaS or cloud-based systems
Solid understanding of SQL and relational databases (PostgreSQL preferred)
Experience with NoSQL systems (e.g., MongoDB)
Experience owning projects end-to-end — from design through deployment
Strong communication skills with the ability to influence technical direction
Experience working on data-intensive SaaS applications
Experience with cloud platforms such as AWS or other major providers is a plus
Familiarity with containerization (e.g., Docker) and microservices architectures (e.g., Kubernetes) is a plus
Experience with internal developer platforms or tools is a plus
Background in building or maintaining ETL workflows is a plus
Experience in scripting languages such as Python, JavaScript, or Typescript is a plus

Perks and Benefits @ Clari

Team-bonding activities and company-wide events
Flexible working hours and remote opportunities
Annual Well-being and Professional Development Stipends
Private Healthcare and Multisport Pass
Paid maternity and paternity leave

#LI-Hybrid
You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a supportive and inclusive environment - free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status.
Clari focuses on culture add, not culture fit, and believe we are made stronger by what makes you unique. If you are passionate about learning and excited about what we are doing, then we want to hear from you!
At Clari, we are excited to welcome talented individuals to our growing team. We are actively hiring across multiple geographies and encourage you to explore opportunities on our careers page that interest you.
Please note that all official communication regarding job opportunities at Clari will come from an @clari.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Clari Careers site. ","hiringOrganization":{"@type":"Organization","name":"Clari","sameAs":"https://www.clari.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kraków, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Software Engineer II, Data Platform - Hybrid, Poland","datePosted":"2025-08-20","description":"Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. We never get tired of our customers singing our praises because it fuels us to help them continue to achieve remarkable. The next generation of revenue excellence is here…are you ready to achieve remarkable with us?
About the TeamThe Engineering Team at Clari is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.
About the RoleAs a Software Engineer on the Data Platform team, you will play a pivotal role in building internal tools around RevDB, Clari’s highly complex internal data platform. RevDB handles automated schema evolution, ETL transformations, and data normalization at scale. A deep understanding of this platform—as a product—is essential to designing tools that expose and support its operations. These tools play a critical role in supporting internal stakeholders and enabling customer-facing administrative features.
You will gain deep knowledge of the complex ETL and data load processes that power RevDB. Developing a systematic understanding of how data flows, transforms, and is governed across the platform will be essential to your success. This understanding will allow you to create smarter tools and efficient workflows — a critical competency for long-term growth in this role.
As a Backend Software Engineer, you’ll apply your Java expertise and cloud-native or SaaS experience to design, build, and maintain backend services that power Clari’s high-scale revenue platform. You’ll architect reliable, highly available systems, streamline complex data workflows, and contribute to both internal tools and customer-facing features.
This is a hybrid position, which will require the ability to be onsite in our Kraków, Poland office as needed. Candidates must be based in Poland.\n

Responsibilities

Contribute to the design and development of scalable backend services using Java
Implement features and enhancements within multi-tenant SaaS solutions that comply with enterprise security and reliability standards
Develop and optimize data pipelines, APIs, and service-to-service integrations under guidance from senior engineers
Work with relational (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB), ensuring data integrity and performance
Assist in improving observability—metrics, logging, and distributed tracing—to maintain system health and reliability
Collaborate with product, DevOps, and data teams to deliver new features and infrastructure improvements
Participate in code reviews, follow best practices, and contribute to maintaining code quality and technical standards
Help troubleshoot and resolve performance or production issues with support from senior team members

Qualifications

2–4 years of professional experience in backend software development
Proficiency in Java and solid understanding of object-oriented design principles
Experience contributing to scalable SaaS or cloud-based systems
Good understanding of SQL and relational databases (PostgreSQL preferred)
Familiarity with NoSQL systems (e.g., MongoDB)
Experience participating in projects through multiple phases — from design to deployment
Effective communication skills and ability to collaborate with cross-functional teams
Exposure to data-intensive SaaS applications
Experience with cloud platforms such as AWS or other major providers is a plus
Basic familiarity with containerization (e.g., Docker) and microservices architectures (e.g., Kubernetes) is a plus
Experience with internal developer platforms or tools is a plus
Some exposure to building or maintaining ETL workflows is a plus
Experience in scripting languages such as Python, JavaScript, or Typescript is a plus
Interest or experience in architectural design or system-level optimization is a plus

Perks and Benefits @ Clari

Team-bonding activities and company-wide events
Flexible working hours and remote opportunities
Annual Well-being and Professional Development Stipends
Private Healthcare and Multisport Pass
Paid maternity and paternity leave

Job Description

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

About the group

You will be joining the Data Platform Group, in the Infrastructure Super Group at Canva.
\n
\nThe Data Platform Group aims to enable significant, scalable and sustainable value via data and insights, through building a world-class data platform and empowering Canvanauts with efficient & effective data capabilities. The Group is responsible for building Canva’s innovative data infrastructure, platforms and services that enable Canva to deliver high impact outcomes to our customers and our business.

What you’d be doing in this role

Role Responsibilities:

Design and implementation of a declarative infrastructure management framework for Canva’s data platform (Snowflake and AWS) to enable self-service data pipeline and analytics development by Canva’s data community
Build out automated governance for data platform across all data workloads
Uplift & iterate data access controls framework towards finer grain controls and policy based access controls
Improve development practices through improvement to testing strategies and frameworks
Contribute towards the growth of data platform teams, incl. hiring, onboarding, training of the fellow engineer
Contribute towards up/cross skill training on usage of data platform in Canva’s data community
Uplift engineering practices, especially on engineering, architecture and documentation
Engage data community to improve data platform capabilities and tooling
Proactively search and identify opportunities, shape and lead data platform initiatives to achieve material business value

Required Experience:

You have five-plus (3-5+) years of commercial experience developing complex applications in Python
Architecture and design experience for modern MPP cloud-based data platform and warehouse, Snowflake and AWS preferred
Implementing data platform infrastructure resource management framework using Infrastructure as Code declaratively (e.g. Terraform)
Experience improving testing frameworks and strategies, e.g. unit testing and integration testing
Prior experience building, uplifting data governance capabilities, incl.: managing lineage, classification, treatment, access control, sovereignty, and etc.
You have extensive experience in developing clean, readable, and maintainable code; The libraries and tools developed by the team are used by hundreds of developers at Canva so they need to be easily understandable.
You are comfortable with computer science and engineering fundamentals: concurrency, data structures
You have hands-on experience using AI in coding / programming to drive greater impact

Nice to have:

Prior experience in data processing using Analytical SQL

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

Equity packages - we want our success to be yours too
Inclusive parental leave policy that supports all parents & carers
An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We see AI as a powerful amplifier of creativity and technology at Canva.We’re evolving how we assess AI skills in our Technology hiring experience - you’ll tackle interactive, real-time challenges that reflect the kind of work we do. In some interviews, you may also be asked to solve a problem using an AI tool to show how you approach challenges with tech by your side. Your recruitment partner will walk you through what to expect.
\n
\nWe make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!

Please note that interviews are conducted virtually.

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects.
Experience with generative AI Model creation and product-ionization.
Experience with LLM Tuning.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The team's mission is to improve the time to model quality for users by bringing data optimization techniques to a broad audience through integrated tools and platforms.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Help data optimization techniques by improving the performance and quality of ML models.
Influence the technical direction of data platforms for model tuning, and work with and support multiple product areas.
Work with Research teams as well as ML practitioners to identify, build, and iterate on engineering tools, visualization, user interfaces, and integration with existing workflows supporting users adoption.
Leverage existing assets and techniques from Google Research, accelerate model tuning velocity for teams and other product areas.
Drive technical relationships with multiple product areas to set strategy and technical directions.

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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Regulatory Reporting Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Implement real-time data processing solutions to handle large volumes of data efficiently.
Ensure data processing solutions adhere to security and compliance standards.
Document data processing workflows, architecture, and best practices.
Optimize data processing pipelines for performance and scalability.
Monitor and troubleshoot performance issues in Kafka and Spark applications.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training and certification on software engineering concepts and 3+ years applied experience
Proven expertise in Kafka, Spark, Structured Streaming, and Spark SQL.
Design and implement scalable data processing pipelines using Apache Kafka, Apache Spark, and Structured Streaming.
Integrate data processing solutions with AWS services such as Apache Kafka/Amazon MSK, Amazon S3, AWS Lambda, and Amazon EMR.
Strong experience with AWS services and cloud-based architectures.
Advance experience with Snowflake and Snow pipe streaming
Experience with data enrichment, transformation, and optimization techniques.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
Proficiency in designing and implementing real-time data processing solutions.

Preferred qualifications, capabilities, and skills

Experience with Python/shell scripting and working in a Linux environment.
Experience building distributed systems at Internet scale.

\n\n\n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n\n

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

\n\n

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank - Digital & Platform Services, you play a crucial role in an agile team dedicated to improving, developing, and providing reliable, cutting-edge technology solutions that are secure, stable, and scalable.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, equity, inclusion, and respect
Leads GenAI strategy and adoption: Spearheads generative AI initiatives, including chatbots and agentic architectures, aligned with business goals.
Collaborates cross-functionally: Integrates ML solutions with data scientists, engineers, and stakeholders to enhance platform capabilities.
Establishes ML lifecycle best practices: Develops standards for model development, deployment, monitoring, and maintenance.
Mentors ML engineering team: Guides and develops the team, fostering continuous learning and innovation.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s)
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Proven leadership in ML projects: Demonstrated ability to lead machine learning initiatives and drive strategic AI adoption.
Expertise in GenAI technologies: In-depth knowledge of generative AI, LangChain, LangGraph, Autogen and other orchestration frameworks.
Strong knowledge of MLFlow
Solid understanding of system design and enterprise architecture patterns

Preferred qualifications, capabilities and skills

Experience in payments: Prior experience working in the financial services industry, particularly in payments or banking, with an understanding of industry-specific challenges and opportunities.
GenAI Implementation Experience: Hands-on experience in implementing Generative AI solutions, such as chatbots or agentic architectures, in a production environment.
Advanced Data Analytics Skills: Proficiency in advanced data analytics and statistical methods, with the ability to derive actionable insights from complex datasets.
Certification in AI/ML: Relevant certifications in AI or ML, such as AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer, or similar credentials, demonstrating a commitment to professional development in the field.

\n\n

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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Stora Enso is a leading provider of renewable products in packaging, biomaterials and wooden construction, and one of the largest private forest owners in the world. We believe that everything that is made from fossil-based materials today can be made from a tree tomorrow. We employ approximately 19,000 people.

Are you ready to shape the backbone of our data-driven future? As a Data Architect at Stora Enso, you’ll play a pivotal role in designing and building the robust, scalable data foundations that power our AI ambitions and fuel every business decision.
Join us to turn complex data challenges into groundbreaking solutions—be the architect behind the intelligence that drives our success.

Career for a better climate. Every day.  

We are now looking for a Data Architect who will lead the design and development of our solutions and help us make smarter decisions to deliver even better products.

In this role, you'll get to work with modern data technologies like Azure, Snowflake, Databricks and dbt. There are plenty of chances to grow your skills, whether it's through conferences, training programs, or certifications.

Your primary focus will be on the design of our data solutions as well as consulting various divisional stakeholders to build data models using data from various systems in Stora Enso.

You will help with the evolution of Stora Enso’s data strategy towards the Data Mesh and Lakehouse concept. You will also be responsible for organizing data community to spread best practice of data modelling and overall data literacy between Stora Enso’s users.

You will work in Ostrava (Czech Republic) in a hybrid mode, combining working from the office and from home. You will report to the Head of Data Availability.

Key responsibilities:

Lead the design, development, and implementation of robust data architectures and solutions that support analytics, reporting, and AI/ML initiatives
Collaborate with business and technical stakeholders to understand requirements, identify opportunities for data-driven value, and provide expert data modeling consultation
Prepare, review, and continually optimize data models (conceptual, logical, and physical) to ensure scalability, performance, and alignment with business needs
Work closely with other architects (data, solution, enterprise, cloud) to design and deliver integrated, end-to-end data solutions
Set and enforce data quality, governance, and security standards to ensure solutions are reliable, compliant, and trustworthy
Mentor, guide, and provide consultation to data engineers, analysts, and junior team members, fostering knowledge sharing and skills development
Create, maintain, and promote architectural documentation, best practices, guidelines, and training materials to drive consistency and excellence across the organization
Champion data-driven and AI-enabled transformation, advocating for innovative solutions and influencing organizational adoption of data best practices
Continuously assess and adopt emerging data technologies and methodologies to keep our data platforms future-ready and competitive

Skills and experience we expect you to have:

Extensive practical experience in data modeling (conceptual, logical, and physical)
Deep understanding of data management concepts(data governance, data quality, metadata management, MDM)
Proven ability to capture business requirements and translate them into effective, scalable data solutions
Expertise in designing and optimizing data architectures for analytics, reporting, and AI/ML applications with sustainable practices at the core
Hands-on experience with modern data platforms and technologies (e.g., cloud data warehouses, data lakes, ETL/ELT tools)
Excellent documentation skills for technical solutions, with a focus on clear, accessible and sustainable data models
Strong communication and stakeholder management skills in English, with the ability to bridge technical and business teams
Consulting mindset and change management skills, able to champion best practices and drive adoption across the organization
Ability to coach, train, and mentor both technical and non-technical team members, fostering a data-driven culture
Strategic thinker with a focus on delivering measurable business value and enabling AI/data-driven initiatives
Adaptability and a continuous learning mindset to stay ahead in a rapidly evolving data and AI landscape

What we offer

By joining us, you will be part of our diverse working culture supporting you to explore new perspectives and develop professionally. You will contribute towards a more sustainable world, as we believe that anything made from fossil-based materials today can be made from a tree tomorrow. To keep you going safely, we support your physical and mental wellbeing.

Role specific opportunities/things that we offer:

modern office in Ostrava - we apply hybrid model
5 weeks of vacation per year
lunch cards 160 CZK
commuting allowance
cafeteria
pension insurance
annual bonus

How can you apply for this role?

You can only submit your application to us by using our recruitment tool. As we are assessing our candidates on an ongoing basis, we hope to hear from you as soon as possible but at the latest by 17.08.2025.

Please kindly note that due to summer vacation we might reply to you with a small delay. Thank you.

Depending on the role, we might invite you to a video interview and/or aptitude tests. Also, our recruitment process could include pre-employment actions such as background, reference, and health checks as well as a drug test.

If you have any questions, please do not hesitate to contact TA partner Lucie Staňková, lucie.stankova@storaenso.com.  
  

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The Data Platform Architect is responsible for designing and implementing scalable data architecture solutions that meet business needs. This role exists to ensure the efficient processing, storage, and retrieval of data across various platforms, enabling data-driven decision-making within the organization.

You will work together with other highly dedicated and skilled colleagues focused on the mission of ensuring stable, efficient, and compliant IT services. Simplicity and agility are important in everything we do. The data platform architect will also assist the data platform system management team build scalable platforms suitable for the business requirements. The scope of this role includes managing data architecture projects, overseeing data governance, and ensuring compliance with industry standards and company policies.

Company Overview

The work we do at FUJIFILM Biotechnologies has never been more important—and we are looking for talented candidates to join us. We are growing our locations, our capabilities, and our teams, and looking for passionate, mission-driven people like you who want to make a real difference in people’s lives.

Join FUJIFILM Biotechnologies and help make the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. We are proud to cultivate a culture that will fuel your passion, energy, and drive - what we call Genki.

Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of “giving our world more smiles.” Visit: https://www.fujifilm.com/us/en/about/region/careers

Key Accountabilities

Job Description

Designs and Develops data architecture frameworks to support business objectives.
Collaborates with cross-functional teams to integrate data solutions.
Evaluates and Selects data technologies and tools for optimal performance.
Oversees data governance policies to ensure compliance and security.
Provides technical guidance and mentorship to junior team members.

Qualifications & Experience

High School Diploma or Equivalent with 8 years of applicable industry experience OR
Bachelor’s degree with 5 years of applicable industry experience OR
Master’s degree 3 years of applicable industry experience OR
PhD with 2 years of applicable industry experience

Key Skills

Technical skills and experience working with SQL server, Snowflake, data visualization tools and ETL systems
Excellent oral and written communications skills and fluency in English
Collaborative attitude with the willingness to work with global peers and cross-functional teams toward company and department goals
Ability to prioritize and work autonomously based on common goals and objectives.
Strong analytical mind, eye for detail and problem-solving skills. A natural drive for simplification.
Quality minded.
High sense of responsibility.
Willingness to learn new things
Effective communication and collaboration skills
Strong problem-solving abilities
Knowledge of data governance and security standards
Ability to present technical concepts to non-technical stakeholders

Impact & Decision Making

Works on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
Requires conceptual thinking to understand advanced issues and implications. Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.
Accountable for results, which may impact the entire function.
Creates formal networks involving coordination among groups.
Focuses on providing thought leadership and works on broader organization projects, which requires understanding of wider business.
Requires conveying advanced information and persuading several diverse stakeholders/audiences.
Recognized internally as a subject matter expert. May direct the activities of others.

Please notice that this is a global role, and by applying you accept that your cover letter and CV can be shared with employees in USA for recruitment purposes.

To all agencies: Please, no phone calls or emails to any employee of FUJIFILM about this requisition. All resumes submitted by search firms/employment agencies to any employee at FUJIFILM via-email, the internet or in any form and/or method will be deemed the sole property of FUJIFILM, unless such search firms/employment agencies were engaged by FUJIFILM for this requisition and a valid agreement with FUJIFILM is in place. In the event a candidate who was submitted outside of the FUJIFILM agency engagement process is hired, no fee or payment of any kind will be paid.

","hiringOrganization":{"@type":"Organization","name":"FUJIFILM Diosynth Biotechnologies","sameAs":"https://fujifilmdiosynth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FDBD Hillerod, Denmark","addressCountry":"Denmark","addressRegion":"Europe"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Data Platform Engineer","datePosted":"2025-08-08","description":"

Data Platform Engineer
Elland with flexible working
Competitive Salary & Benefits

Marshalls plc is the UK’s leading hard landscaping, building and roofing products supplier and has supplied some of the most prestigious landmarks in the UK since the 1890s. We’re the benchmark for excellence and have been recognised as a Superbrand since 2010. As well as exceptional customer service, technical innovation, and manufacturing expertise, we continue to be a leader in our field in corporate responsibility and sustainable business practice.

We are looking for an experienced Data Platform Engineer to join our Data & Insights team to support the design, development, and maintenance of robust, secure, and reliable data pipelines that serve key enterprise systems including ERP, CRM, and analytics platforms.

You will join our Digital Transformation Team and play a critical role in our transition toward a modern, unified analytics platform (Microsoft Fabric), ensuring high-quality data is available to power decision-making across the business.

What’s the Mission?

The Data Platform Engineer, will work closely with the Data Architect and collaborate across IT, BI, and operational teams to support a resilient, scalable, and governed data platform.
Build and maintain automated, secure data pipelines from sources such as Dynamics AX/D365, CRM, and third-party platforms.
Manage the capacity, scalability, and configuration of the data platform, including SQL Server, SQL MI, Synapse, Data Lake, and Microsoft Fabric, in collaboration with infrastructure and security teams.
Support the migration to Microsoft Fabric, ensuring modern, efficient data architecture.
Ensure data quality, consistency, and lineage tracking across ingestion and integration layers using governance tools like Purview.
Document data flows, pipeline dependencies, and technical configurations to support transparency and maintainability.
Monitor and administer both on-prem and cloud systems, implementing robust alerting and performance tracking with Azure Monitor and Log Analytics.
Collaborate with BI teams to ensure clean, reliable data delivery to analytics models.
Support platform lifecycle tasks (e.g., patching, upgrades, access control) and contribute to DevOps and knowledge sharing.

Mission Critical Skills

Proven experience as a Data Engineer, Data Platform Engineer or similar technical role in enterprise environments, with advanced SQL development skills, Python/ PySpark, and demonstrated experience with modern ETL/ELT frameworks
Hands-on expertise with cloud-native data platforms (preferably Microsoft Fabric, Synapse, Data Factory, and related services
Experience integrating data from ERP/CRM systems (e.g., Dynamics 365), and operational data sources.
Familiarity with data governance tools like Purview, and understanding of data security and compliance (e.g., GDPR, ISO 27001).
Knowledge of DevOps, including CI/CD, Git, and Infrastructure as Code (e.g., ARM, Terraform, Bicep).
Strong problem-solving, diagnostic, and collaboration skills, with the ability to work across cross-functional teams.
Relevant degree or equivalent experience; Microsoft certifications (e.g., DP-700, DP-203, DP-900) are highly desirable.

Benefits

34 days per annum or the equivalent in hours (inclusive of bank holidays)
Health care cash plan – support with Dental, Optical, Prescription costs and many more!
Enhanced Maternity, Paternity, and Adoption pay and leave
5% employer matched pension scheme
Cycle to work scheme
Employee discount on Marshalls and Marley products
Retailer discounts
Marshalls Wellbeing Centre
Share purchase scheme
Life assurance

Equal Opportunities
Whoever you are and whatever your background, you’ll find a fair and supportive workplace. You’re unique and we want you to bring every part of who you are to work, every day. We’re committed to ensuring equal opportunities for everyone. To us, this is more than a legal, moral, or ethical necessity – it’s the right thing to do! We want our team to reflect the diverse nature of society and the communities we serve. Marshalls is a workplace where you’re valued for the contribution you make, and where you can grow and develop by being entirely yourself!

Closing Date: 12noon 21st August 2025

#LI-remote

INDHP

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Werk waar je trots op kan zijn. Dit ga je doen.

Een toekomstbestendig energiesysteem vraagt om slimme inzet van data. Als Data Platform Engineer bij Stedin draag je bij aan een robuust en schaalbaar dataplatform waarmee we de energietransitie versnellen. Jij zorgt dat onze collega’s – van data scientists tot analisten – veilig, snel en zelfstandig met data kunnen werken.

Samen bouwen aan een toekomstbestendig en gebruiksvriendelijk dataplatform. Zo krijg je nieuwe energie.

Hoe jouw dag als Data Platform Engineer eruit ziet bij Stedin?

Hoe jouw dag als Data Platform Engineer eruit ziet bij Stedin?
Na een heerlijke kop koffie (of thee) die je in gebarentaal bestelt bij onze ‘gebarista’, start je jouw dag met de daily stand-up van je team. Je bespreekt de voortgang en prioriteiten, waarna je aan de slag gaat met het ontwikkelen van een selfservice learning module voor gebruikers van onze data-tools.

Je begeleidt gebruikers actief bij het werken met ons platform en ontwikkelt learning blocks, zodat ze zelfstandig aan de slag kunnen.
Je werkt aan de vernieuwing van het platform met technologieën als Azure, Databricks, Airflow en Kubernetes – en denkt actief mee over architectuur en gebruiksvriendelijkheid.

Na een lunch op de 18e verdieping – of een wandeling door de stad – help je het Data Science-team bij het optimaliseren van hun model voor netcongestie. Je geeft niet alleen een oplossing, maar zorgt ook voor overdraagbare kennis.

Je vertaalt inzichten naar technische verbeteringen en werkt samen met Product Owners en Solution Architecten aan nieuwe features.
Je verbetert onze CI/CD-deployments met tools als Terraform en Azure DevOps.

Op het eind van je werkdag sta je in een paar stappen op station Blaak. Zo ben je lekker snel weer thuis.

Jouw sterke punten. Worden wij blij van.

Je krijgt energie van samenwerken én van techniek. Je weet technische concepten helder uit te leggen aan anderen, denkt vooruit en deelt je kennis graag.

Wat jou echt onze nieuwe Data Platform Engineer maakt?

Je hebt ervaring met (Azure) cloudomgevingen zoals Databricks, Kubernetes, Datalake, Airflow en EventHub.
Je beheerst Python, Spark en SQL en hebt basiskennis van netwerken.
Je bent communicatief sterk en draagt kennis makkelijk over aan collega’s.
Je hebt ervaring met infra-as-code en CI/CD (bij voorkeur met Terraform en Azure DevOps).
Je bent in het bezit van, of bereid om certificeringen te halen zoals AZ-104, AZ-305, DP-203 of AZ-400.

Goed om te weten: Bij Stedin hebben we genoeg te doen. Daarom is deze rol beschikbaar vanaf 32 uur per week. Liever 36 of 40 uur werken? Ook prima!

Een goed team. Daar hoor je bij.

Vanaf dag één maak je deel uit van het Dataplatform Enablement Team, onderdeel van de Dataplatform release train. Samen zorgen jullie voor bredere inzet van het dataplatform door de organisatie heen. Wat dit team typeert? Veel ruimte voor vernieuwing, onderlinge kennisdeling en de ambitie om data toegankelijk te maken voor iedereen.

“We bouwen samen aan een platform waar je als engineer zélf enthousiast van wordt. Dat motiveert iedere dag weer.”

Mooie arbeidsvoorwaarden. Die wil je hebben.

Dat je van ons een laptop en telefoon (of BYOD-vergoeding) krijgt, vinden we logisch. Wat kun je nog meer verwachten?

Alle financiële arbeidsvoorwaarden op een rij, weet je meteen waar je aan toe bent:

Goede arbeidsvoorwaarden horen erbij. Zo krijg je, afhankelijk van kennis en ervaring, maximaal een salaris van €6984,90 gebaseerd op 40 uur per week, 24,5 vakantiedagen en bouw je prima pensioen op bij het ABP.
Bovenop je salaris ontvang je een persoonlijk budget van 24% (inclusief 8% vakantiegeld). Jij kiest wat je met het budget doet. Elke maand extra salaris? Of meer verlofdagen? In onze nieuwe Rekentool krijg je een alvast een voorproefje van hoe jouw persoonlijk budget eruit zou kunnen zien en hoe je het zou kunnen besteden.
Gezonde energie, die heb je nodig. Daarom krijg je van ons ook een Duurzaam Inzetbaarheid budget van €500 bruto per jaar (bijvoorbeeld voor je sportabonnement of je nieuwe voetbalshirt). En claim jij alvast een plek in het volgende Stedin Voetbaltoernooi?

Daar komt dit nog bovenop:

Je werkt volgens ons Stedin@Work concept: 50% thuis en 50% op kantoor. Wij regelen jouw thuiswerkfaciliteiten én een thuiswerkvergoeding.
Reizen naar kantoor doe je met de OV vrij regeling. Dat is een OV-kaart die je ook in je vrije tijd kan gebruiken. Of met de Flexibele reisregeling, waarbij je zelf kiest, combineert en varieert hoe je naar je werk reist en een extra vergoeding krijgt als je met de fiets komt.
Werken bij Stedin? Dat is werken bij een World-class Workplace, al vier jaar achter elkaar. Een van de trotspunten van onze (en jouw toekomstige) collega’s!
Jouw ontwikkeling staat centraal: events bezoeken met collega’s, meedoen aan kennissessies, trainingen en opleidingen volgen. Zo geven we jouw talent écht alle kans en haal jij het beste uit jezelf.

Alle voordelen en arbeidsvoorwaarden van werken bij Stedin op een rij? Die vind je via onderstaande knop.

Nu reageren. En laten zien wat je in huis hebt.

Zin in deze baan? Solliciteer direct via de knop. Je mag natuurlijk een motivatiebrief meesturen, maar het hoeft niet. We kijken ernaar uit je te ontmoeten! We kijken ernaar uit je te ontmoeten!

Wie je ook bent, wat je ook doet, bij ons ben je welkom. Want als je jezelf bent, werkt het net wat beter.

Dankzij een assessment en een (pre) employment screeningkunnen wij jou (en jij jezelf) nog beter leren kennen. Daarom maken deze onderdeel uit van de selectieprocedure.

Het vinden van een wederzijdse match, daar krijgen we nieuwe energie van! Daarom zijn onze vacatures geen oproep voor acquisitie, we werven onze nieuwe collega’s graag zelf.

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