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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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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 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:

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 $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

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

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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.

","hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":4,"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.

","hiringOrganization":{"@type":"Organization","name":"ID.me","sameAs":"https://www.id.me/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"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":6,"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":7,"item":{"@type":"JobPosting","title":"AI / Machine Learning Engineer","datePosted":"2025-06-30","description":"

Job Description:

AI/Machine Learning Engineer

Collaborate with Innovative 3Mers Around the World

Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

The Impact You’ll Make in this Role

As an AI / Machine Learning Engineer, you will develop technologies in the areas of machine learning, deep learning, artificial intelligence, and/or computer vision that create new opportunities for 3M and will develop digital products and solutions capitalizing on 3M’s unique materials, advanced technologies, and global reach. At 3M, we analyze data, create algorithms, and develop real-world solutions for many businesses and markets, consumer and industrial products, worker safety, transportation, semiconductor, electronics, and many more.

In this role, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:

Leveraging expertise to develop and lead new data analytics technologies for product development or manufacturing systems, providing new growth opportunities in addition to supporting existing 3M products and businesses
Working with global teams to implement impactful solutions in 3M’s diverse markets
Initiate and contribute to the analysis and development of intellectual property, publish internally and externally, and present at appropriate conferences
Collaborating with cross-functional research teams in corporate research and in business labs to build capabilities and applications to solve emerging challenges
Analyzing data, develop algorithms, and deploy solutions based on real-world data

Understand, develop, and guide the establishment of new computational tools and systems.

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

Master’s degree or higher (completed and verified prior to start) in a science or engineering discipline
Five (5) years experience in Data Science or Data Analytics in a private, public, government or military environment
Three (3) years experience developing new technology and/or products in a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

Ph.D. degree or post-doctoral fellowship in Computer Science, Electrical Engineering, Data Science, Cognitive Science, Software Engineering, Applied Physics, Applied Mathematics, Chemical Engineering, Chemistry, or related discipline from an accredited university
Three (3) years technical leadership of a development team
Training and/or experience in deep learning, machine learning, computer vision, artificial intelligence, statistics, informatics, VAEs, transformers, diffusion models, optimization algorithms and/or applied mathematics through thesis work, or industry or national lab employment
Fluent in one or more programming languages (e.g. Python, MATLAB, C, C++, Java, and/or R)
Experienced with Azure and AWS cloud services and data analytics tools
Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available
Physics or chemistry related domain knowledge informed machine learning and/or scientific machine learning experience
Demonstrated scientific excellence as evidenced by publications and presentations

Work location:

Hybrid Eligible (Job Duties allow for some remote work but require travel to 3M Center at least 3 days per week)

Travel: May include <10% domestic or international

Relocation Assistance: May be authorized

Supporting Your Well-being

3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

Applicable to US Applicants Only:The expected compensation range for this position is $122,292 - $149,468, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.

Good Faith Posting Date Range 06/30/2025 To 07/30/2025 Or until filled

All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

3M Global Terms of Use and Privacy Statement

Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.

Please access the linked document by clicking here , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

","hiringOrganization":{"@type":"Organization","name":"3M","sameAs":"https://www.3m.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US, Minnesota, Maplewood, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"AI & Machine Learning Consultant","datePosted":"2025-08-07","description":"

At Praecipio, we don't just implement tools; we reshape how businesses see, understand, and achieve their most critical objectives. You are more than a consultant—you are a strategic partner who empowers our clients to connect their vision directly to value. You'll work alongside a \"brilliant, together\" team, tackling our clients' most complex challenges and delivering the \"aha!\" moments that redefine their potential for success.

If you are passionate about turning data into insight and strategy into reality, join us and be the driving force behind the VISTA revolution.

What is VISTA?

Visibility, Intelligence, Strategy, Technology, Agility - VISTA is how Praecipio builds the organizational capabilities that evolve how businesses operate and compete. It's our approach to helping clients become intelligent enterprises that see clearly, decide confidently, and execute with precision. It's how we move our clients beyond siloed teams and disjointed projects into a future of unified strategy and data-driven execution.

Share your resume and expertise, we’ll be in touch. This is an ongoing application for review against a variety of sold consulting engagements.

We’d like to learn from and engage with highly skilled and experienced Consultants specializing in AI and Machine Learning. This is for a true expert who can advise clients on the strategic application, technical implementation, and successful integration of AI/ML solutions within their organizations. You'll work across the full lifecycle of AI/ML initiatives, translating complex concepts into actionable strategies and driving tangible business outcomes.

Requirements

Consultant Expectations

AI/ML Strategy & Advisory: Provide expert guidance to clients on developing and refining their AI/ML strategies, identifying high-impact use cases, and assessing organizational readiness for AI/ML adoption. You'll help clients navigate the complex landscape of AI/ML technologies and opportunities.
Technical AI/ML Implementation Guidance: Advise on the end-to-end technical lifecycle of AI/ML projects, including data acquisition and preparation, model development, validation, deployment, and ongoing monitoring. You'll guide client teams on best practices for building robust and scalable AI/ML solutions.
Solution Design & Architecture: Lead the design of practical and effective AI/ML solutions tailored to client needs. This involves recommending appropriate AI/ML models, tools, platforms, and architectural patterns, ensuring alignment with client infrastructure and business objectives.
Client Relationship & Business Acumen: Build and maintain strong relationships with client stakeholders, from technical teams to executive leadership. You'll effectively communicate complex AI/ML concepts in clear, business-centric terms, fostering trust and ensuring client buy-in throughout engagements.
Problem Solving & Optimization: Analyze client challenges and identify opportunities where AI/ML can drive significant value. You'll work collaboratively to develop innovative solutions, optimize existing processes, and troubleshoot issues related to AI/ML implementation.
Project Leadership & Management Advisory: While not a dedicated project manager, you'll provide critical guidance and oversight to client project teams, ensuring AI/ML initiatives are managed effectively, risks are mitigated, and dependencies are addressed to meet strategic goals.
Continuous Learning & AI/ML Thought Leadership: Stay at the cutting edge of the rapidly evolving AI and Machine Learning field, including new algorithms, tools, platforms, ethical considerations, and industry trends. You'll contribute to our firm's intellectual capital by developing whitepapers, participating in industry events, and sharing best practices.
Sales & Business Development Support: Actively contribute to identifying new business opportunities within existing client relationships and support the development of proposals and presentations that articulate our AI/ML consulting value proposition.

What We Look For

Progressive experience in an AI/Machine Learning-focused role within a consulting firm or a similar advisory capacity, demonstrating successful client engagements.
Deep expertise in Artificial Intelligence and Machine Learning, including a strong understanding of various AI/ML techniques (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision, reinforcement learning), the full model development lifecycle, and deployment strategies in enterprise environments.
Proven ability to translate complex AI/ML concepts into practical business solutions and effectively communicate technical details to both technical and non-technical stakeholders.
Strong analytical and problem-solving skills, with a track record of designing and implementing innovative AI/ML-driven solutions that deliver measurable business value.
Exceptional client-facing skills, including executive-level communication, impactful presentations, negotiation, and advanced stakeholder management.
Familiarity with major cloud AI/ML platforms (e.g., AWS SageMaker, Azure ML, Google Cloud AI Platform) and open-source AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is highly desirable.
Demonstrated commitment to continuous learning and staying current with advancements in the AI/ML domain.
Willingness to travel to client sites as required.

Benefits

The Impact You Will Make

Joining Praecipio means you will be the catalyst for profound and lasting change for our clients. You will directly enable them to:

Achieve Unprecedented Clarity: You will replace ambiguity and data chaos with a single source of truth. By leveraging advanced analytics and integrated systems, you'll provide executive leaders with real-time, transparent views into their entire value stream, from strategic investment to customer delivery.
Drive Data-Driven Decision-Making: You will empower clients to move from guesswork to confident, strategic choices. Your work will provide the critical insights they need to pivot faster, optimize resource allocation, and ensure their investments are generating measurable returns.
Connect Strategy to Execution: You will help clients ensure that every task, project, and program is perfectly aligned with their overarching business goals, eliminating wasted effort and maximizing impact.
Unlock True Business Agility: You won't just be helping teams run faster sprints; you will be instilling a culture of enterprise-wide agility. This allows our clients to adapt to market changes, outperform competitors, and consistently deliver value to their customers.

","hiringOrganization":{"@type":"Organization","name":"Praecipio","sameAs":"https://www.praecipio.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"AI / Machine Learning Engineer","datePosted":"2025-08-08","description":"

Job Description:

AI/Machine Learning Engineer

Collaborate with Innovative 3Mers Around the World

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

The Impact You’ll Make in this Role

In this role, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:

Leveraging expertise to develop and lead new data analytics technologies for product development or manufacturing systems, providing new growth opportunities in addition to supporting existing 3M products and businesses
Working with global teams to implement impactful solutions in 3M’s diverse markets
Initiate and contribute to the analysis and development of intellectual property, publish internally and externally, and present at appropriate conferences
Collaborating with cross-functional research teams in corporate research and in business labs to build capabilities and applications to solve emerging challenges
Analyzing data, develop algorithms, and deploy solutions based on real-world data

Understand, develop, and guide the establishment of new computational tools and systems.

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

Master’s degree or higher (completed and verified prior to start) in a science or engineering discipline
Five (5) years experience in Data Science or Data Analytics in a private, public, government or military environment
Three (3) years experience developing new technology and/or products in a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

Ph.D. degree or post-doctoral fellowship in Computer Science, Electrical Engineering, Data Science, Cognitive Science, Software Engineering, Applied Physics, Applied Mathematics, Chemical Engineering, Chemistry, or related discipline from an accredited university
Three (3) years technical leadership of a development team
Training and/or experience in deep learning, machine learning, computer vision, artificial intelligence, statistics, informatics, VAEs, transformers, diffusion models, optimization algorithms and/or applied mathematics through thesis work, or industry or national lab employment
Fluent in one or more programming languages (e.g. Python, MATLAB, C, C++, Java, and/or R)
Experienced with Azure and AWS cloud services and data analytics tools
Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available
Physics or chemistry related domain knowledge informed machine learning and/or scientific machine learning experience
Demonstrated scientific excellence as evidenced by publications and presentations

Work location:

Hybrid Eligible (Job Duties allow for some remote work but require travel to 3M Center at least 3 days per week)

Travel: May include <10% domestic or international

Relocation Assistance: May be authorized

Supporting Your Well-being

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

Good Faith Posting Date Range 08/08/2025 To 09/07/2025 Or until filled

Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.

Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

3M Global Terms of Use and Privacy Statement

Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.

","hiringOrganization":{"@type":"Organization","name":"3M","sameAs":"https://www.3m.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US, Minnesota, Maplewood, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"AI/Machine Learning Intern","datePosted":"2025-08-05","description":"

Who we are:

Johnson Controls is a global diversified technology and multi-industrial leader serving a wide range of customers in more than 150 countries. We create intelligent buildings, efficient energy solutions, integrated infrastructure and next generation transportation systems that work together seamlessly. Bring your passion for innovation and we will challenge you to help us create a better tomorrow.

What you will do:

AI/ML Technology Intern within Technical Communications. The Technical Communications department is developing an AI Machine Translation (MT) solution for translating technical content.
This involves training and building custom neural machine translation engines and developing and deploying machine translation workflows for various user types.
The Technology Intern will provide project and development support using technologies such as XML, application program interfaces (API), Python, content management systems, augmented reality, machine learning, and natural language processing.
Projects may include efforts related to API engineering, translation automation, CRM systems, taxonomy development, and systems integration.
Work with the Translation Centre of Excellence team to implement MT solutions for technical content.
Design and implement technical solutions.

Preferred Education / Experience / Interests:

• Completing or recently completed BSc or MSc in artificial intelligence, computer science, IT, software engineering, information design and development, or similar.

• Interest in natural language processing.

• Machine learning.

Desired Skills:

• Problem solving • Interest in languages

• Passionate about working in areas such as AI, API engineering, translation automation, and user experience (UX)

• Creative, ability to think outside the box, and willingness to challenge the status quo

• Excellent communication skills and the ability to influence people

• Detail-oriented with strong analytical skills

• Ability to build relationships and work successfully in global teams

• Technical acumen and an eagerness to learn

• Good data analytics and attention to detail

• Excellent administration skills.

","hiringOrganization":{"@type":"Organization","name":"Johnson Controls","sameAs":"https://www.johnsoncontrols.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IRL Cork Albert Quay, Ireland","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"AI/Machine Learning Engineer","datePosted":"2025-08-12","description":"

Description

Founded in 2007, Initiate Government Solutions (IGS) a Woman Owned Small Business. We are a fully remote IT services provider that delivers innovative Enterprise IT and Health Services solutions across the federal sector. Our focus is on data analytics, health informatics, cloud migration, and the modernization of federal information systems.

IGS uses ISO 9001:2015, 20000-1:2018, 27001:2013, 28001:2007, CMMI/SVC3, CMMI/DEV3 best practices, and PMBOK® methods to provide clients with a strategy to build solid foundations to grow capabilities and revenue. Our range of IT services and delivery methodologies are tailored to our customers’ unique needs to achieve maximum value.

IGS is currently pipelining for a remote AI/Machine Learning Engineer to support our work within the federal healthcare industry.

Assignment of Work and Travel:

This is a remote access assignment. The Candidate will work remotely daily and will remotely access VA systems and therein use approved VA provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested.

The AI/Machine Learning Engineer will work alongside a team of highly skilled developers and engineers in the development of AI applications. A motivated and qualified candidate will not only have hands-on development experience in (JavaScript, Python or Java) but also a willingness to collaborate with teams to solve problems. Together we’re accelerating our client’s digital transformation through the building and deployment of data-driven, scalable AI solutions.

Responsibilities and Duties (Included but not limited to):

Design, develop, and deploy machine learning and deep learning models to support clinical decision-making, predictive analytics, and health outcomes research.
Fine-tune models for high performance using healthcare-specific data, including EHRs, claims, imaging, and structured/unstructured text.
Collaborate with data engineers to clean, preprocess, and normalize healthcare data in compliance with federal data standards (e.g., HL7, FHIR).
Build scalable ML pipelines that integrate with federal data platforms and cloud services (e.g., VA’s Lighthouse API, Azure Government, AWS GovCloud).
Ensure AI/ML solutions meet federal regulations, including HIPAA, FISMA, FedRAMP, and VA Information Security requirements.
Implement differential privacy, encryption, and access controls to safeguard sensitive health data.
Contribute to the development of governance frameworks to ensure transparent, explainable, and bias-mitigated models.
Document model lifecycle, from training to deployment, including risk assessments, validation reports, and audit trails.
Work cross-functionally with program managers, clinicians, data scientists, and software developers to identify opportunities for AI/ML applications that improve healthcare delivery and veteran outcomes.
Present complex machine learning findings in a way that is actionable and aligned with federal healthcare program goals.
Stay updated on the latest developments in AI/ML applications for public health and healthcare operations.
Prototype and test emerging AI technologies (e.g., NLP for clinical text, computer vision for imaging diagnostics) for possible integration into government systems.
Monitor deployed models for drift, accuracy, and operational effectiveness over time.
Maintain model retraining schedules based on new data inputs or policy changes.
Prepare comprehensive documentation and reports for internal stakeholders and external oversight (e.g., OMB, GAO, IG audits).
Develop dashboards and visualizations to track performance metrics, patient outcomes, and utilization trends impacted by AI/ML tools.

Requirements

Bachelor’s degree or higher in one of the following disciplines, Computer Science, Data Science, Artificial Intelligence / Machine Learning, Mathematics / Statistics, Biomedical Engineering, Health Informatics, Electrical or Computer Engineering
4+ years of experience in software and machine learning engineering.
Strong knowledge of natural language processing (NLP) and transformer models.
5+ years proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
Proven experience building scalable, cloud-based AI/ML solutions and enhancing custom question answering mapping/workflows.
Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.
Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.
Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.
Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.
Passion for developing team-oriented solutions to complex engineering problems
Excellent communication skills and attention to detail
Analytical mind and problem-solving aptitude
Ability to obtain and maintain a Public Trust
Strong organizational skills

Preferred Qualifications and Core Competencies:

Master’s degree in one of the above-mentioned fields
Preferred Tools & Environments: Python, R, TensorFlow, PyTorch, Scikit-learn, AWS (SageMaker), Azure ML, Databricks, Apache Spark, Power BI, Tableau, Plotly, Git, GitHub/GitLab
Active VA Public Trust
Prior experience supporting a VA program
Prior, successful experience working in a remote environment

Successful IGS employees embody the following Core Values:

Integrity, Honesty, and Ethics: We conduct our business with the highest level of ethics. Doing things like being accountable for mistakes, accepting helpful criticism, and following through on commitments to ourselves, each other, and our customers.
Empathy, Emotional Intelligence: How we interact with others including peers, colleagues, stakeholders, and customers’ matters. We take collective responsibility to create an environment where colleagues and customers feel valued, included, and respected. We work within a diverse, integrated, and collaborative team to drive towards accomplishing the larger mission. We conscientiously and meticulously learn about our customers’ and end-users’ business drivers and challenges to ensure solutions meet not only technical needs but also support their mission.
Strong Work Ethic (Reliability, Dedication, Productivity): We are driven by a strong, self-motivated, and results-driven work ethic. We are reliable, accountable, proactive, and tenacious and will do what it takes to get the job done.
Life-Long Learner (Curious, Perspective, Goal Oriented): We challenge ourselves to continually learn and improve ourselves. We strive to be an expert in our field, continuously honing our craft, and finding solutions where others see problems.

Compensation: There are a host of factors that can influence final salary, including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.

Benefits: Initiate Government Solutions offers competitive compensation and a robust benefits package, including comprehensive medical, dental, and vision care, matching 401K and profit sharing, paid time off, training time for personal development, flexible spending accounts, employer-paid life insurance, employer-paid short and long term disability coverage, an education assistance program with potential merit increases for obtaining a work-related certification, employee recognition, and referral programs, spot bonuses, and other benefits that help provide financial protection for the employee and their family.

Initiate Government Solutions participates in the Electronic Employment Verification Program.

","hiringOrganization":{"@type":"Organization","name":"Initiate Government Solutions, LLC.","sameAs":"https://www.initiatesolutions.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"AI Machine Learning Intern","datePosted":"2025-08-13","description":"

About our group:

Since 1979, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 40,000 creative, hard-working, passionate people all over the world—Silicon Valley, the Southeast Asia, India, China, the United Kingdom, and beyond. At Seagate, we know that data is always in motion, alive, connected—and we harness it in order to maximize human potential.

We are a team of IT (Information Technologies) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations. The use of AI and ML allows for real-time data analysis and decision making, predictive maintenance, and the optimization of production processes. We collaborate with the business teams to harness the full potential of Industry 4.0 - Real-time control, IoT, Big Data and Analytics, Automation and Artificial Intelligence to support “Smart Factory” initiative, to make better decision and maximize operational excellence.

About the role - you will:

You will work with our Data Scientist and Data Engineers to research and develop smart maintenance platform, powered by machine learning, that can provide the following capabilities:
Detection of fault and performance degradation
Prediction of Remaining Useful Life (RUL)
You will have the chance to drive meaningful impact at Seagate by designing, building, tuning, and deploying machine learning models that help reduce capital spending and operational cost.

#Internship

About you:

We are looking for candidates who are highly passionate about data science and want to apply AI/machine learning/deep learning techniques to solve real-word problems.
Self-motivated, independent and a team player with strong analytical skills
Good at Python programming
Familiarity with AI Machine learning techniques, frameworks, and libraries.
Bachelor or master's students in Computer science, computer engineering or related field

Your experience includes:

Currently pursuing a Bachelor’s or master’s degree in IT, Computer Science, or other Engineering majors or related field
Good knowledge of general IT principles related to configuration changes, testing cycles and deployment strategies
Effective project management skills to drive HR and IT related configuration changes, interface changes and HR transformation projects
Working proficiency with Microsoft Office

Location:

\nKorat, Thailand\n\n\nOur Korat facility is our largest manufacturing site worldwide, with more than 10,000 employees. Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day.\n\n\nAdditionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.\n

Location: Korat Thailand
\nTravel: None

","hiringOrganization":{"@type":"Organization","name":"Seagate Technology","sameAs":"https://www.seagate.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nakhon Ratchasima, TH","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"AI Machine Learning Intern","datePosted":"2025-08-13","description":"

About our group:

About the role - you will:

You will work with our Data Scientist and Data Engineers to research and develop smart maintenance platform, powered by machine learning, that can provide the following capabilities:
Detection of fault and performance degradation
Prediction of Remaining Useful Life (RUL)
You will have the chance to drive meaningful impact at Seagate by designing, building, tuning, and deploying machine learning models that help reduce capital spending and operational cost.

#Internship

About you:

We are looking for candidates who are highly passionate about data science and want to apply AI/machine learning/deep learning techniques to solve real-word problems.
Self-motivated, independent and a team player with strong analytical skills
Good at Python programming
Familiarity with AI Machine learning techniques, frameworks, and libraries.
Bachelor or master's students in Computer science, computer engineering or related field

Your experience includes:

Currently pursuing a Bachelor’s or master’s degree in IT, Computer Science, or other Engineering majors or related field
Good knowledge of general IT principles related to configuration changes, testing cycles and deployment strategies
Effective project management skills to drive HR and IT related configuration changes, interface changes and HR transformation projects
Working proficiency with Microsoft Office

Location:

Location: Korat Thailand
\nTravel: None

","hiringOrganization":{"@type":"Organization","name":"Seagate Technology","sameAs":"https://www.seagate.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nakhon Ratchasima, TH","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"AI / Machine Learning Engineer","datePosted":"2025-08-13","description":"

The Greater Change is seeking an innovative **AI / Machine Learning Engineer** to join their Client.

This role entails designing, developing, and implementing machine learning models to solve complex problems and optimize processes across various applications.

As an AI / Machine Learning Engineer, you will collaborate with data scientists and software engineers to create cutting-edge AI solutions that enhance decision-making and drive automation. You will also play a key role in researching new algorithms and techniques to keep our technology at the forefront of the industry.

Key Responsibilities:

Design, implement, and maintain scalable machine learning models and algorithms.
Analyze and preprocess large datasets to extract meaningful insights.
Collaborate with cross-functional teams to integrate machine learning solutions into existing applications.
Research and apply the latest trends in AI and machine learning to improve system performance.
Test and validate models to ensure their accuracy and reliability.
Document processes and present findings to stakeholders.

Requirements

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Proven experience as a Machine Learning Engineer or similar role.
Strong proficiency in programming languages such as Python or R.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Solid understanding of algorithms, concepts, and techniques in AI and machine learning.
Familiarity with data preprocessing and visualization tools.
Excellent analytical and problem-solving skills.
Strong communication and teamwork skills.

Benefits

CompeCompensation: Aligned with industry standards

","hiringOrganization":{"@type":"Organization","name":"The Greater Change","sameAs":"https://www.thegreaterchange.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United Arab Emirates - Remote","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":15,"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":16,"item":{"@type":"JobPosting","title":"AI Machine Learning Engineer - Personalization","datePosted":"2025-07-22","description":"

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.

Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.

Responsibilities

Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journey
Build effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendation
Work across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\\
Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users

Qualifications

Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
Experience in training DNN and Transformer architecture models
Experience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideas
Understands how to make tradeoffs in using different models
Self-motivated with a willingness to take ownership of tasks
A passion for shipping quality products
4+ years of industry experience

The cash compensation range for this role is $200,000 - $280,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

","hiringOrganization":{"@type":"Organization","name":"Perplexity AI","sameAs":"https://www.perplexity.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City; Palo Alto; San Francisco","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior AI & Machine Learning Engineer","datePosted":"2025-07-21","description":"

\n\n \n General information\n

\n\n\n\n\n\n\n Requisition #\n \n\n R61929\n \n\n\n\n Locations\n \n\n USA-FL-Doral\n \n\n\n\n Posting Date\n \n\n 07/21/2025\n \n\n\n\n Security Clearance Required\n \n\n Secret\n \n\n\n\n Remote Type\n \n\n Onsite\n \n\n\n\n Time Type\n \n\n Full time\n \n\n\n\n\n\n\n

\n\n \n Description & Requirements\n

\n\n\n\n\n\n\n\nShape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we’ve been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now—protect and innovate with MANTECH!
\n
\n\n\n\n\n\n

MANTECH seeks a motivated, career and customer-oriented Senior AI & Machine Learning Engineer to join our team in Doral, FL.

Responsibilities include but are not limited to:

Manages and maintains the organization’s AI technologies.
Overseeing the installation and configuration of the AI tool suite, while ensuring availability and other performance metrics are met.
Collaborate with IT Teams and other stakeholders to identify and address operational issues.
Develop troubleshooting plans to be executed by junior staff members.
Strong understanding of artificial intelligence technologies, as well as hands-on experience managing AI tools.

Minimum Qualifications:

BA/BS degree or 4 additional years of experience may be exchanged in lieu of a degree.
9+ years of experience with 5+ years of position relevant experience.
Experience in AI/ML engineering, with a proven track record of successfully deploying and managing AI solutions in production environments.
Proficiency in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with cloud-based AI platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning).
Experience with data management and processing tools (e.g., Hadoop, Spark, SQL).
Proficiency in programming languages such as Python and Java.
Experience with DevOps practices and tools (e.g., CI/CD, containerization).

Desired Qualifications:

Experience with machine learning operations (MLOps).
Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired.

Clearance Requirements:

Must have an active Secret clearance.

Physical Requirements:

Must be able to remain in a stationary position 50%.
Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer.
The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

\n\n\n\n\n
\nMANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
\n
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.","hiringOrganization":{"@type":"Organization","name":"ManTech","sameAs":"https://www.mantech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA-FL-Doral","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Director of AI & Machine Learning","datePosted":"2025-07-16","description":"

Join the future of news

We’re on a mission to deliver riveting storytelling for all of America. At The Washington Post, you’ll help reinvent news. Our work is driven by a deep investigative spirit and enhanced by innovation to bring audiences closer to the stories that matter most.

About Our Team

The Washington Post is powered by the passion and talent of our people. It takes all of us to reinvent news. Beyond our award-winning Newsroom and Opinions teams, we work across many departments, including Brand & Events, Communications, Customer Care, Engineering & Product, Finance, Human Resources, Legal, Marketing & Advertising, Print Operations, and Sales.

Why This Role Matters

The Washington Post is seeking a Director of AI & Machine Learning to lead the development and deployment of next-generation AI systems that amplify journalistic impact, enhance reader engagement, and optimize operational efficiency. Reporting to the Chief AI Officer, you will play a pivotal role in shaping the future of digital journalism by overseeing the design, delivery, and scaling of intelligent, ethical, and secure machine learning (ML) platforms and generative AI (GenAI) applications.

As a key leader within our technology organization, you will unify vision and execution—partnering across newsroom, product, engineering, and business domains to ensure that AI capabilities not only solve today’s challenges but also enable tomorrow’s possibilities.

What Motivates You

You believe deeply in the mission of journalism and are inspired to create systems that support its evolution in the age of AI.
You are energized by turning cutting-edge AI trends into practical, scalable tools that empower creators and inform the public.
You thrive in multidisciplinary environments where technology, ethics, and storytelling converge.
You are committed to inclusive leadership and building a team culture grounded in trust, curiosity, and continuous learning.
You are excited to coach and grow highly skilled teams, enabling them to lead in an ever-changing AI landscape.

How You’ll Support the Mission

Define and drive the strategic roadmap for enterprise-wide machine learning and generative AI initiatives to align with The Post’s editorial, product, and commercial goals.
Lead and scale inclusive, cross-functional teams of ML scientists, engineers, and technical managers to deliver high-impact AI solutions.
Architect robust, secure, and scalable ML and GenAI systems, including large language model (LLM) infrastructure, that support experimentation and production use cases.
Oversee the end-to-end ML lifecycle—from research and prototyping to deployment and monitoring—with an emphasis on reliability, reproducibility, and performance.
Establish best practices for model development, validation, and integration while ensuring responsible AI use and compliance with data governance standards.
Collaborate with senior leaders in editorial, technology, and business functions to identify high-value opportunities for AI integration.
Develop sustainable processes for talent development, cross-functional collaboration, and technical knowledge-sharing across AI and ML domains.
Represent The Post’s AI strategy externally with credibility and integrity, contributing thought leadership in the broader tech and journalism communities.

The Skills and Experience You Bring

Minimum Qualifications

Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
10+ years of experience in machine learning, applied AI, or data science, including a proven record of deploying ML systems in complex production environments.
5+ years of leadership experience managing technical teams, including recruiting, mentoring, and performance development of ML professionals.
Demonstrated expertise in scaling ML infrastructure on modern cloud platforms (e.g., AWS, GCP, Azure) and with ML/LLMOps tools (e.g., Kubernetes, Docker, CI/CD workflows).
Strong communication and cross-functional collaboration skills, with an ability to translate technical vision into organizational outcomes.

Preferred Qualifications

Ph.D. in Computer Science, Machine Learning, or a related quantitative discipline.
Experience working in media, economics, or finance domains with an ability to align AI initiatives to editorial and business strategies.
A portfolio of successfully led cross-functional AI initiatives demonstrating innovation, ethical considerations, and measurable impact.

Collaboration makes us stronger. That’s why our offices are designed with open layouts, modern technology, and easy access to transportation. With certain exceptions for newsgathering and business travel, we work on-site five days a week.

Compensation and Benefits

Wherever you are in your life or career, The Washington Post offers comprehensive and inclusive benefits for every step of your journey:

Competitive medical, dental and vision coverage
Company-paid pension and 401(k) match
Three weeks of vacation and up to three weeks of paid sick leave
Nine paid holidays and two personal days
20 weeks paid parental leave for any new parent
Robust mental health resources
Backup care and caregiver concierge services
Gender affirming services
Pet insurance
Free Post digital subscription
Leadership and career development programs

Benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status.

The salary range for this position is:

$211,700 - $352,900 Annual

The actual salary within this range will depend on individual skills, experience, and qualifications as they relate to specific job requirements. This position may be eligible for a bonus or incentive program, and a member of the Talent Acquisition team will discuss bonus payment terms and conditions during the interview process.

Your story awaits. Apply today!

Learn more about The Post at careers.washingtonpost.com.

","hiringOrganization":{"@type":"Organization","name":"The Washington Post","sameAs":"https://www.washingtonpost.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"DC-Washington-TWP Headquarters, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Sr Engineer, AI/Machine Learning","datePosted":"2025-07-02","description":"

Job Summary

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices, working on creating new non-invasive measurements, enable measurement technologies to be applied to new applications, and facilitate the design and creation of next-generation medical devices. It is a cutting-edge research and development opportunity with the potential to improve people’s lives by solving real-world problems. The key focus will be in analyzing data from different sources to discover relationships among various measurements and medically relevant conditions and developing computational models for disease diagnosis, detection and prediction of critical events.

Responsibilities will include working with data from continuous streams of invasive and non-invasive sensors, electronic medical records as well as speech/audio and image/video. The Sr Engineer, AI & ML will also closely work with our software, hardware and systems teams to ensure an efficient deployment in Masimo products.

Duties & Responsibilities

Design and develop AI and ML models to solve complex problems.
Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software.
Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems.
Design, train and evaluate machine learning models using large datasets in the cloud.
Prototype new ideas/technologies to create proof of concept and demos.
Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas.
Work with cross-functional teams in the R&D group, including hardware and software engineers.
Effectively communicate with engineering and marketing teams.
Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data.
Carry out statistical analysis of clinical data.
Implement physiological parameter measurement algorithms on embedded systems.
Deliver high quality software design, documentation and implementation.
Performs other duties as assigned.

Minimum Qualifications

At least 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling.
Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
Expertise in data analysis and data mining.
Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods.
Familiarity with DSP architecture and embedded systems.
Exposure to DSP Programming.
Excellent conceptual, analytical, and problem-solving abilities.
Ability to excel in a fast-paced and dynamic work environment.
Excellent verbal and written communication skills.

Preferred Qualifications

Understanding of human physiology and exposure to designing clinical protocols are preferred.
Prior experience in application of AI/ML and signal processing techniques tools to bio-medical signals is a plus.

Education

M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required.

Compensation: The anticipated range for this position is $145,000 - $160,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance.

","hiringOrganization":{"@type":"Organization","name":"Masimo","sameAs":"https://www.masimo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Engineer II, AI/Machine Learning","datePosted":"2025-07-02","description":"

Job Summary

The AI / Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and development opportunity with the potential to improve people’s lives by solving real-world problems. The key focus will be in analyzing data from different sources to discover relationships among various measurements and medically relevant conditions and developing computational models for disease diagnosis, detection and prediction of critical events.

Responsibilities will include working with continuous streams of data from invasive and non-invasive sensors. The AI/ML Engineer will also closely work with our software, hardware and systems teams to ensure an efficient deployment in Masimo products.

Duties & Responsibilities

Design and develop AI and ML models to solve complex problems
Design, train and evaluate machine learning models using large datasets
Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas
Effectively communicate with engineering and marketing teams
Delivering high quality software design, documentation and implementation

Minimum Qualifications

Experience in artificial intelligence, machine learning and/or deep learning
Experience with machine learning libraries and modern frameworks such as Tensorflow, Keras, Pytorch, scikit-learn, etc.
Experience with Python, Matlab and C++
Hands-on experience of development to solve problems such as: regression, classification, clustering, dimensionality reduction, structured output and anomaly detection.

Preferred Qualifications

Experience in applying AI/ML to biomedical data
Experience with computer vision and/or robotics
Experience with databases and their tools

Education

M.S./Ph.D. degree in Electrical/Computer Engineering/Computer Science, (advanced degree preferred)

Compensation: The anticipated range for this position is $120,000 - $140,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance.

To learn more about Masimo, please visit: www.masimo.com

","hiringOrganization":{"@type":"Organization","name":"Masimo","sameAs":"https://www.masimo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Research intern, AI Machine Learning","datePosted":"2025-07-16","description":"

About our group:

Seagate Research Group (SRG) conducts research to transform Seagate’s considerable technical expertise, innovation, and manufacturing excellence to develop innovative technologies for the rapidly growing datasphere.

\n\n\n

SRG’s Software and Applied AI Research section conduct research in applying Machine Learning for Seagate advance project, products, and processes.

\n\n\n

We use State-of-the-Art ML methods to develop applications and Proof-of-Concepts. Our projects include applying ML in the following areas - Video Surveillance, Predictive Maintenance for HDD, optimizing data storage solution, Sensor-fusion for Augmented Reality and more.

About the role - you will:

As a Research intern, you will have the opportunity to apply ML techniques to a variety of impactful projects within SRG’s Software and Applied AI Research team. These include:

\n\n\n

\n
Applying predictive analytics for Hard Disk Drive (HDD) applications.
\n

\n\n\n

\n
Optimizing data flow throughput for Storage solutions with ML.
\n

\n\n\n

\n
Developing AI solutions tailored at the edge
\n

\n\n\n

\n
Profiling and analyzing AI workloads
\n

\n\n\n

\n
Engaging in simulation and modeling using Physics-Informed Machine Learning models (Theory-Trained Models)
\n

\n\n\n

\n
AI Driven Material Discovery
\n

About you:

\n\n

We are looking for someone who is:

\n\n\n

\n
A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus.
\n

\n\n\n

\n
Proficient in understanding Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch.
\n

\n\n\n\n\n

\n
Familiar with various ML approaches, including Supervised, Unsupervised, and Reinforcement Learning.
\n

\n\n\n

\n
Keen to stay updated on the latest ML developments and trends, such as Generative AI, Transformers, GPT, GANs, Autoencoders, and Diffusion AI, Physics-informed Neural Network.
\n

\n\n\n

\n
Possessing a proactive, can-do attitude, with a perpetual curiosity and willingness to learn.
\n

\n\n

Your experience includes:

\n
Currently pursuing a Bachelor's or Master degree or PHD in Computer Science, Engineering, Mathematics or a related field.
\n

\n\n\n

\n
Proficient in Python, with experience in TensorFlow, PyTorch, R-programming, and a lower-level programming language (C/C++ or Java).
\n

\n\n\n

\n
Knowledge or experience in one or more of the following areas:
\n

\n\n\n

\n
Applied reinforcement learning algorithms like Q-Learning or genetic algorithms in real-world applications.
\n

\n\n\n

\n
Machine Learning for vision or natural language processing (NLP)
\n

Location:

The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities

Location: Shugart, Singapore
\nTravel: None

","hiringOrganization":{"@type":"Organization","name":"Seagate Technology","sameAs":"https://www.seagate.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shugart, SG","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"AI & Machine Learning Vice President","datePosted":"2025-08-01","description":"

At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve.

We prize diversity and inclusion, the intellectually curious, the inventive, and the forward-thinking. We invite you to influence the way we work and define the way we embrace tomorrow. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone.

What you’ll do

Are you passionate about a future that exceeds your expectations? Here, at AlixPartners your passion becomes your career. We work in smaller and more senior teams that bring deep industry and functional knowledge to our clients. You will sit shoulder-to-shoulder with owners, boards, and CEOs to address the issues that sit at the top of their agendas - and often become front-page news.

If you join our practice, you will work with financially secure, under-performing and distressed companies across a variety of urgent, high impact situations. Our elite professionals are recognized experts in their respective fields, bringing to bear their skills and experience to craft measurable, improved outcomes for our clients.

In this role, you will have the chance to create ETL workflows, scripts, statistical models, and visualizations while taking responsibility for the design, build, test, execution, and support of the data migration, cleansing, wrangling, etc. The ideal candidate will have a detailed understanding of the underlying data and data structures of multiple systems to allow in depth analysis of existing and potential data insights.

Data Modeling

\n
Selecting features, building and optimizing classifiers using machine learning techniques
\n
\n
Execute machine learning projects using state-of-the-art methods
\n
\n
Extending company’s data with third party sources of information when needed
\n
\n
Creating automated anomaly detection systems and constant tracking of its performance
\n

 Data Manipulation

\n
Experience with common data science toolkits, such as Python, PySpark, R. Excellence in at least one of these is highly desirable
\n
\n
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
\n
\n
Collect data from a wide variety of corporate databases, including various SQL databases -Microsoft, Redshift, Teradata, Oracle, Netezza, etc.-, Access, Excel, plain or formatted text files, OLAP cubes –Microsoft, Oracle-, and no-SQL databases
\n
\n
Parse data out of poorly structured XML and invalid HTML documents
\n
\n
Use regular expressions to extract information from un-structured text documents
\n
\n
Deal with missing data through multiple-imputation or the use of advanced models
\n
\n
Automate boring tasks with scripts
\n

Data Organization

\n
Build effective, reliable, and robust ETL processes that govern the data ingestion flow
\n
\n
Design database models, consistent table structures, and advanced dimensional schemas that carry out data quality and consistency standards
\n
\n
Apply modeling approaches, business intelligence patterns, and data management techniques
\n
\n
Understanding of cloud architectures. Some knowledge in Azure, AWS or GCP is desired
\n

Data Analysis

\n
Demonstrate advanced SQL skills, such as CTEs and window functions, to work with extensive amounts of data at various aggregation levels
\n
\n
Review and analyze legacy code/scripts to understand data processing logic and business rules
\n
\n
Ability to apply statistical learning languages to build predictive models that enrich, expand, and allow deeper understanding of data analyses and solutions
\n
\n
Distributed systems knowledge, specially of HDFS and the Hadoop ecosystem
\n

Data Visualization

\n
Use interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner
\n
\n
Ability to tell a convincing story to C-level executives using visual charts and dashboards
\n
\n
Present complicated technical findings to a non-technical audience
\n

What you’ll need

\n
Bachelor’s degree with concentration in Computer Science, Engineering or another quantitative field
\n
\n
5+ years of applicable professional experience
\n
\n
Ability to synthesize the requests received from team members at client sites
\n
\n
Desire to actively engage in geographically dispersed teams
\n
\n
Capability to be a creative, innovative problem solver - but using simple ideas
\n
\n
Knowledge of any of the following languages: Python, JavaScript, C#, or similar plus familiarity with at least one ETL tool (such as Alteryx, KNIME, SSIS, Pentaho, or DataStage)
\n
\n
Motivated to discover and learn new analytical techniques and software tools to improve the quality of our work
\n
\n
Strong verbal and written communication skills in English. Proficiency in other languages is a plus
\n
\n
Ability and willingness to work long hours and travel if necessary, to meet client demands
\n
\n
Ability to work full-time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday
\n
\n
Willingness to work outside of normal U.S. business hours, and in particular as unique projects/needs arise
\n
\n
Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners’ Code of Conduct and foster an inclusive environment with people at all levels of an organization
\n

This description is not designed to encompass a comprehensive listing of required activities, duties, or responsibilities.

AlixPartners is a results-driven global consulting firm that specializes in helping businesses successfully address their most complex and critical challenges. www.alixpartners.com

AlixPartners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.

The firm offers a comprehensive benefits program including health, vision, dental, disability, 401K, tuition reimbursement, identity theft protection, and mental wellness support. Employees will also receive a generous paid leave policy including vacation/personal time starting at 5.67 hours per pay period, sick time up to 80 hours annually, parental leave and twelve holidays.

The salary range for this role takes into account a number of factors and is between $120,000/year - $220,000/year with potential eligibility for an annual discretionary bonus.

AlixPartners is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. AlixPartners is a proud Silver award-winning Veteran Friendly Employer.

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.

This job will remain posted until November 30, 2025

#LI-Remote

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Are you passionate about the chance to bring your data quality improvement experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities? Then Thomson Reuters Special Services (TRSS) is looking for you!

About the Role
As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. You will be a contributing member of a Software Engineering team that supports production applications and also helping to develop new features and models.

The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.

As a Generative AI and Machine Learning Engineer, you will:

Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.
Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments.
Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.

About you
You're a good fit for the role of Generative AI & Machine Learning Engineer if you have:

Master’s or Bachelor’s in a relevant discipline. Relevant experience will be considered in lieu of a degree
Proficiency in Python
At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis.
Solid software engineering skills and experience
Experience as a technical leader, leading aspects of the following :aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders
Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms
Ability to obtain and maintain a U.S. national security clearance
U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements

The following skills and tools are preferred, but not required

6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry
Experience with AI Agent frameworks and patterns
Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling
Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization)
Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV
Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications
Experience in a fast-paced, agile environment managing uncertainty and ambiguity.
Proficiency in Python and experience delivering minimum viable products in a large enterprise environment
Experience developing libraries and APIs for others to use
Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders
Diverse experiences across problem spaces, companies and cultures

#LI-CS1

What’s in it For You?

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.\n\nEligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $134,680 - $250,120.\n\nThis role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.\nBase pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.\n

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

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About the Role
As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to system development and monitoring, ML management and DevOps. You will be a contributing member of a Software Engineering team that supports production applications and also helping to develop new features and models.

The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.

As a Generative AI and Machine Learning Engineer, you will:

Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.
Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments.
Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.

About you
You're a good fit for the role of Generative AI & Machine Learning Engineer if you have:

Master’s or Bachelor’s in a relevant discipline. Relevant experience will be considered in lieu of a degree
Proficiency in Python
At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis.
Solid software engineering skills and experience
Experience as a technical leader, leading aspects of the following : aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders
Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms
Ability to obtain and maintain a U.S. national security clearance
U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements

The following skills and tools are preferred, but not required

6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry
Experience with AI Agent frameworks and patterns
Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling
Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV
Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications
Experience in a fast-paced, agile environment managing uncertainty and ambiguity.
Proficiency in Python and experience delivering minimum viable products in a large enterprise environment
Experience developing libraries and APIs for others to use
Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders
Diverse experiences across problem spaces, companies and cultures

#LI-CS1

What’s in it For You?

Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.\n\nFor any eligible US locations, unless otherwise noted, the base compensation range for this role is $116,900 - $217,100.\n\nThis role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.\nBase pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.\n

This job posting will close 10/27/2025.

About Us

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com.

","hiringOrganization":{"@type":"Organization","name":"Thomson Reuters","sameAs":"https://www.thomsonreuters.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA-McLean-1410 Spring Hill Rd Suite 125, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Research intern, AI Machine Learning","datePosted":"2025-08-18","description":"

About our group:

\n\n\n

SRG’s Software and Applied AI Research section conduct research in applying Machine Learning for Seagate advance project, products, and processes.

\n\n\n

About the role - you will:

As a Research intern, you will have the opportunity to apply ML techniques to a variety of impactful projects within SRG’s Software and Applied AI Research team. These include:

\n\n\n

\n
Applying predictive analytics for Hard Disk Drive (HDD) applications.
\n

\n\n\n

\n
Optimizing data flow throughput for Storage solutions with ML.
\n

\n\n\n

\n
Developing AI solutions tailored at the edge
\n

\n\n\n

\n
Profiling and analyzing AI workloads
\n

\n\n\n

\n
Engaging in simulation and modeling using Physics-Informed Machine Learning models (Theory-Trained Models)
\n

\n\n\n

\n
AI Driven Material Discovery
\n

About you:

\n\n

We are looking for someone who is:

\n\n\n

\n
A self-motivated and independent learner with a strong mathematical foundation in linear algebra, statistics, optimization, and calculus.
\n

\n\n\n

\n
Proficient in understanding Machine Learning and Deep Learning frameworks such as TensorFlow and PyTorch.
\n

\n\n\n\n\n

\n
Familiar with various ML approaches, including Supervised, Unsupervised, and Reinforcement Learning.
\n

\n\n\n

\n
Keen to stay updated on the latest ML developments and trends, such as Generative AI, Transformers, GPT, GANs, Autoencoders, and Diffusion AI, Physics-informed Neural Network.
\n

\n\n\n

\n
Possessing a proactive, can-do attitude, with a perpetual curiosity and willingness to learn.
\n
Able to commit a full time Semester internship (Jan to Jul).

\n\n

Your experience includes:

\n
Currently pursuing a Bachelor's or Master degree or PHD in Computer Science, Engineering, Mathematics or a related field.
\n

\n\n\n

\n
Proficient in Python, with experience in TensorFlow, PyTorch, R-programming, and a lower-level programming language (C/C++ or Java).
\n

\n\n\n

\n
Knowledge or experience in one or more of the following areas:
\n

\n\n\n

\n
Applied reinforcement learning algorithms like Q-Learning or genetic algorithms in real-world applications.
\n

\n\n\n

\n
Machine Learning for vision or natural language processing (NLP)
\n

Location:

Location: Shugart, Singapore
\nTravel: None

","hiringOrganization":{"@type":"Organization","name":"Seagate Technology","sameAs":"https://www.seagate.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shugart, SG","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Sr Engineer II, AI/Machine Learning","datePosted":"2025-07-02","description":"

Job Summary

The Sr Engineer II, AI & ML will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices, working on creating new non-invasive measurements, enable measurement technologies to be applied to new applications, and facilitate the design and creation of next-generation medical devices. It is a cutting-edge research and development opportunity with the potential to improve people’s lives by solving real-world problems. The key focus will be in analyzing data from different sources to discover relationships among various measurements and medically relevant conditions and developing computational models for disease diagnosis, detection and prediction of critical events.

Duties & Responsibilities

Design and develop AI and ML models to solve complex problems.
Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software.
Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems.
Design, train and evaluate machine learning models using large datasets in the cloud.
Prototype new ideas/technologies to create proof of concept and demos.
Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas.
Work with cross-functional teams in the R&D group, including hardware and software engineers.
Effectively communicate with engineering and marketing teams.
Design clinical studies to collect physiological data from human subjects, perform data collection and analysis of physiological data.
Carry out statistical analysis of clinical data.
Implement physiological parameter measurement algorithms on embedded systems.
Deliver high quality software design, documentation and implementation.
Performs other duties as assigned.

Minimum Qualifications

At least 6+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling.
Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
Expertise in data analysis and data mining.
Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods.
Familiarity with DSP architecture and embedded systems.
Exposure to DSP Programming.
Excellent conceptual, analytical, and problem-solving abilities.
Ability to excel in a fast-paced and dynamic work environment.
Excellent verbal and written communication skills.

Preferred Qualifications

Understanding of human physiology and exposure to designing clinical protocols are preferred.
Prior experience in application of AI/ML and signal processing techniques tools to bio-medical signals is a plus.

Education

M.S. or Ph.D. degree in Electrical Engineering, Biomedical Engineering, or a related field required.

Compensation: The anticipated range for this position is $165,000 - $185,000. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 10% annual bonus based on Company, department, and individual performance.

To learn more about Masimo, please visit: www.masimo.com

","hiringOrganization":{"@type":"Organization","name":"Masimo","sameAs":"https://www.masimo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Lead Cybersecurity Architect - AI & Machine Learning","datePosted":"2025-08-08","description":"

Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers. As Lead Cybersecurity Architect at JPMorgan Chase within the Cybersecurity & Technology Controls, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. We are looking for an experienced Architect to join our team as a specialist in Cloud and/or AI/ML Security. You will be responsible for designing secure cloud infrastructure architectures for our enterprise AI/ML applications. We are looking for a cloud security leader who is passionate about AI/ML security architecture and can solve complex security configurations through innovation and known security architectural practices. You will be required to apply your in-depth of cloud security knowledge and expertise to all aspects of Artificial Intelligence/Machine Learning development lifecycle, as well as partner continuously with your many product stakeholders on a daily basis to stay focused on common goals. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers . Best yet, you will be joining a team of highly motivated and skilled security architects who will help you to lay the foundations of a great career at JP Morgan Chase.

Job responsibilities

Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks
Provide thought leadership for securing on premise and cloud based AI/ML solution architecture
Design comprehensive security architectures for cloud infrastructure projects
Design secure networks and systems based on industry standards and best practices
Identify and address security vulnerabilities, security risks, and other compliance issues
Create and communicate threat models
Partner with product managers to create key objectives and roadmaps
Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability
Serves as function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle
Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering/architecture concepts and 5+ years applied experience
Hands-on practical experience delivering enterprise level cybersecurity solutions and controls
Advanced in one or more programming languages or applications
Advanced Technical knowledge in architecting, designing, and Integrating security solutions in a large-scale enterprise of highly distributed applications
Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)
Strong knowledge of Artificial Intelligence and Machine Learning Security concepts, threats, and vulnerabilities including Generative Large Language Models
Strong understanding of cloud computing concepts and services such as AWS, Azure, GCP, etc
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience
Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture

Preferred qualifications, capabilities, and skills

Knowledge of networking protocols and techniques, such as TCP/IP, routing, DNS, DHCP, etc.
Knowledge of IAM concepts, including but not limited to provisioning, PAM, RBAC, ABAC, SCIM, LDAP, and governance and authorization standards
Experience with federated identity platforms/products
Experience with API security and public cloud APIs and integration
Deep familiarity with frameworks such as NIST 800-53, OWASP, CVSS, the MITRE ATT&CK frame, MITRE Atlas, PCI, and Gramm-Leach-Bliley Act (GLBA).
Experience using cloud infrastructure as code (IaC) using frameworks like Terraform
Experience with microservices designs and implementations including docker, Kubernetes, etc…

\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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Tauche ein in eine Welte voller Möglichkeiten – Deine neue Herausforderung

Beratung und Begleitung unserer Kunden bei der Implementierung von KI-Lösungen (Architektur, Sicherheit, Infrastruktur, Lizenzen, Migration)

End-to-End Umsetzung von datengetriebenen Projekten im Bereich Machine Learning & AI – von der Konzeption bis zum Go-Live

Entwicklung von Governance-Modellen, Frameworks, Architektur-Blueprints und Best Practices für nachhaltige KI-Nutzung

Identifikation neuer Use Cases im Kundenumfeld (z. B. Copilot, Vorhersagemodelle, Prozessautomatisierung)

Durchführung von Workshops und Upskilling-Formaten zur Förderung von KI-Kompetenz beim Kunden

Analyse und Optimierung von Geschäftsprozessen durch AI-gestützte Automatisierung

Verantwortung für Architekturentscheidungen und technische Führung innerhalb von Projektteams

Enge Zusammenarbeit mit Teams aus Data Platform, Dynamics 365, Azure Cloud und teilweise Modern Work

Requirements

Die Talente und Erfahrungen, die unser Team bereichern werden

Erfahrung & Qualifikation – Abgeschlossenes Studium in Informatik, Data Science, KI, Mathematik, Ingenieurwissenschaften oder verwandte technische Studiengänge

Erfahrung in der Entwicklung produktionsreifer KI-Modelle (ML / Deep Learning) und dem Aufbau von AI-Governance-Strukturen

Praxis im Cloud-Umfeld (Azure, ggf. AWS oder GCP) sowie Erfahrung mit modernen Architektur- und Entwicklungsstandards

Kenntnisse gängigen Tools & Frameworks: z. B. Python und Azure ML, ML Ops

Idealerweise Erfahrung mit Microsoft Dynamics 365 / Power Platform und Geschäftsprozessintegration

Reise-Bereitschaft zu Kundenterminen in der Schweiz und im Ausland

Sehr gute Deutschkenntnisse ist ein Muss - und gute Englischkenntnisse (mind. B2/C1).

Benefits

Dein Plus, wenn du bei HSO arbeitest

Flexibles Arbeiten ohne feste Kernarbeitszeiten: vor Ort beim Kunden, im Homeoffice oder in unserem Office

Onboarding@HSO eine umfassende Onboarding Woche in unserem Office in Winterthur, um dich optimal auf deinen Start vorzubereiten und dein Team kennenzulernen

Lernen und Wachsen – Weiterbildung durch die HSO Academy, externe Schulungen und einen individuellen Karrierepfad

Team Spirit – Eine vertrauensvolle, wertschätzende und unterstützende Arbeitskultur, attraktive Firmenevents, tolle Geschenke zu Geburtstagen und Weihnachten

Freue dich auf ein attraktives Gehaltspaket, das deine Leistungen belohnt, sowie eine zukunftssichere betriebliche Altersvorsorge

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Description

About CloudBees

CloudBees is the leading software delivery platform for modern enterprises, enabling companies to continuously innovate at scale. As a startup operating in the DevOps space, we empower developers and teams to build, test, and deploy software faster and more reliably. Our mission is to simplify complexity and help organizations deliver better software, faster.

The Role

CloudBees is seeking a visionary and hands-on Engineering Leader to drive our Agentic & AI Operations (AIOps) strategy. Lead the development of the Cloudbees AI platform designed to support the fine-tuning, deployment, and management of AI, ML, and Agentic Services; Guiding the strategic direction of the engineering team, with a primary focus on platform reliability, scalability, and maintainability. Build and oversee robust systems that empower our customers to optimize and personalize AI and Agents to their specific needs. You will lead a growing team of engineers focused on building reliable, scalable AI & ML infrastructure and pipelines that power intelligent features across our platform.

We’re looking for someone with startup experience, a passion for AI & ML tooling, and deep understanding of operationalizing AI/ML workflows. You'll partner closely with data scientists, product managers, and platform engineers to transform AI ideas into production-grade, secure, and efficient systems.

As the founding Engineering leader of AI Foundations team, this is a high-impact role that sits at the intersection of artificial intelligence and software delivery – ideal for someone passionate about pushing the boundaries of developer productivity and intelligent automation.

Key Responsibilities

Lead and scale a team responsible for AIOps, including model deployment, monitoring, and lifecycle management.
Architect and implement AI/ML pipelines that are scalable, observable, and reproducible.
Collaborate with cross-functional teams (data science, DevOps, product) to integrate AI/ML systems into our SaaS platform.
Establish best practices for AI/ML experimentation, CI/CD for models, data versioning, and model governance.
Own the full stack of AIOps infrastructure, from data ingestion to real-time inference systems.
Drive technical vision and roadmap for ML platform development.
Act as a mentor and coach, helping engineers grow in a fast-paced, startup environment.
Manage a team of 5+
Ability to launch new platforms 0 - 1 and drive adoption internally and externally with partner teams.

Qualifications

Must-Haves:

7+ years of engineering experience, including platform engineering, system development, or related roles with at least 3 years in leadership roles.
3 years of experience with large-scale systems, with a focus on reliability, scalability, and maintainability; and 1 year of experience with AI/ML systems
Strong hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Airflow, Metaflow).
Proven track record building ML pipelines in production environments.
Experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes).
Deep knowledge of CI/CD practices as they relate to ML lifecycle.
Prior experience in a startup or fast-paced SaaS environment.
Strong collaboration and communication skills.
Experience deploying and managing services such as Amazon bedrock or Vertex AI - LLm

Nice-to-Haves:

Experience integrating ML capabilities into developer-centric tools or platforms.
Familiarity with data observability and ML monitoring tools (e.g., EvidentlyAI, Prometheus/Grafana for models).
Knowledge of data privacy, compliance, and security in ML systems.

Why Join CloudBees

Work at the forefront of DevOps innovation and shape how ML supports developer productivity.
Join a high-impact, mission-driven startup backed by top investors.
A flexible remote work culture with global teammates.
Competitive compensation, stock options, and benefits.

CloudBees is proud to be an Equal Opportunity Employer. We embrace diversity and are committed to creating an inclusive environment for all employees.

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Company Description

Devoteam est un leader du conseil en stratégie digitale, plateformes technologiques, cybersécurité et business transformation. Avec 10 000 collaborateurs en EMEA, nous accompagnons les entreprises en mettant depuis plus de 25 ans la Technologie au service de l’Homme. En France, nous sommes 4500 Digital Architects répartis dans + de 50 tribus d’expertises et coachés par + de 400 managers experts. Nous rejoindre c’est : travailler sur des projets innovants et durables, se certifier en continu sur les nouvelles tech du marché et partager des moments uniques entre collègues ! Pour en découvrir plus sur Devoteam, rendez-vous ici.

Devoteam Toulouse, avec ses 200 collaborateurs, est un acteur incontournable de la transformation digitale sur le bassin toulousain. Notre équipe de consultants experts accompagne nos clients dans la réalisation de leurs projets technologiques les plus ambitieux, en s’appuyant sur notre expertise en cloud & devOps, cybersécurité, gestion de projet et développement agile.

Notre communauté A Cloud : accompagne les entreprises dans leur transformation en plateformes numériques avec AWS, favorisant une innovation rapide et un développement durable grâce aux technologies cloud. Notre vocation est d’étudier la place de l’humain face à la technologie. C’est pourquoi nous explorons les nouvelles pratiques (agilité, culture du feedback, communautés de pratiques , rétro-ingénierie) et les nouveaux usages technologies (IA, machine learning, IOT, data sciences) qui émergent aujourd’hui.

Job Description

Un.e Machine Learning/AI Engineer joue un rôle essentiel dans la création de systèmes intelligents et autonomes, en utilisant des techniques d'apprentissage automatique et d'intelligence artificielle pour résoudre des problèmes complexes dans divers domaines tels que la reconnaissance d'images, le traitement du langage naturel, la recommandation personnalisée, la prévision et bien d'autres. C’est un.e professionnel.le spécialisé dans le développement, la conception et l'implémentation de systèmes basés sur l'apprentissage automatique et l'intelligence artificielle. Son rôle est de créer des modèles et des algorithmes capables d'apprendre à partir de données et de prendre des décisions ou de réaliser des tâches de manière autonome.

Ses missions sont :

Supporter le processus de développement machine learning de bout en bout pour concevoir, créer et gérer des logiciels reproductibles, testables et évolutifs,
Travailler sur la mise en place et l’utilisation de plateformes ML/IA/MLOps (telles que AWS SageMaker, Kubeflow, AWS Bedrock, AWS Titan),
Apporter à nos clients des best practices en termes d’organisation, de développement, d’automatisation, de monitoring, de sécurité,
Expliquer et appliquer les best practices pour l’automatisation, le testing, le versioning, la reproductibilité et le monitoring de la solution IA déployée.

Ses missions vous attirent ? Vous souhaitez grandir dans un environnement AWS ?

Si la réponse est oui à toutes ces questions, et seulement si vous pensez avoir les compétences requises, alors rejoignez-nous.

Qualifications

Pour ce job, vous devrez réellement démontrer ces compétences :

Parler couramment Python, PySpark ou Scala Spark. Scikit-learn, MLlib, Tensorflow, Keras, PyTorch, LightGBM, XGBoost, Scikit-Learn et Spark (pour ne citer qu’eux),
Comprendre les architectures Data et les environnements Hadoop, ElasticSearch, Kafka notamment,.
Parfaitement opérationnel pour mettre en place des environnements DevOps et Infra As Code, et pratiquer les outils de MLOps,
Une bonne partie des outils Git, GitLab CI, Jenkins, Ansible, Terraform, Docker, Kubernetes, ML Flow, Airflow ou leurs équivalents dans les environnements Cloud doivent faire partie de votre quotidien.

👉🏻 Continuer à se développer grâce à la communauté Data

Évoluer au sein de la Tribe Data, c’est être acteur dans la création d’un environnement stimulant dans lequel les consultant·e·s ne cessent de se tirer vers le haut, aussi bien en ce qui concerne les compétences techniques que les soft-skills. Mais ce n’est pas tout, ce sont aussi des événements réguliers, un fil slack dédiés vous permettant de solliciter les communautés (Data, AI/ML, DevOps, Sécurité,...) dans leur ensemble !
\nSur la région Toulousaine, l’agence compte environ 30 personnes, le tout encadré par un manager d’agence.À côté de cela, vous avez l’opportunité d’être moteur dans le développement des différentes communautés internes (REX, workshops, articles, Podcasts…).

Additional Information

🙋‍♂️ Pourquoi nous rejoindre ?

Un suivi de carrière réalisé par un manager tech avec des échanges réguliers ;
Des certifications techniques et soft skills en libre accès avec un objectif de 2 certifications minimum par an, des vouchers fournis et du coaching d’experts ;
Des partenaires technologiques de choix : Google, AWS, Microsoft, ServiceNow, Snowflake, MuleSoft, Outsystems, SAP, Databricks, Gitlab, … ;
Une trajectoire aux possibilités variées via la mobilité interne géographique, fonctionnelle et inter entité / tribu ou squad.
Des rôles internes pour construire votre carrière au sein du Groupe : manager, formateur interne, tech leader, digital champion, squad leader, …
Des contributions internes pour élargir vos compétences telles que les relations écoles, le recrutement, le commerce, la rédaction d’articles, l’animation de meet up ou de communauté, …
Un esprit de communauté fort, au travers d’événements internes et d’activités sportives et culturelles grâce à plus de 30 clubs Happiness@Devoteam, vous permettant de rencontrer vos collègues régulièrement et de partager vos passions ;
Une vision Tech for People qui s’incarne dans nos valeurs, nos pratiques responsables, notre programme de développement durable récompensé par le label Ecovadis et nos engagements forts avec notamment la Fondation Devoteam.

🤝 Comment se déroule le processus de recrutement chez Devoteam ?

Un premier échange avec notre team de recruteurs (Talent Acquisition Interview) pour faire le point sur vos compétences, votre niveau d'anglais et valider vos motivations.
Une rencontre avec un expert métier (Tech & Business Interview) pour approfondir vos compétences techniques et vérifier leur adéquation avec nos besoins
Un échange avec un manager (Leadership Interview) afin d'évaluer votre potentiel, vos ambitions et d'envisager votre évolution au sein de Devoteam.
Nous privilégions au moins un entretien en présentiel. Une prise de référence est demandée et, selon votre profil, des tests (techniques, anglais, personnalité...) peuvent vous être adressés.
Si votre candidature est retenue, nous vous faisons parvenir une proposition présentant les conditions d'embauche. En cas d'acceptation, le contrat de travail est formalisé.

Le Groupe Devoteam oeuvre pour l'égalité des chances, pour la promotion de ses collaboratrices et de ses collaborateurs au mérite et lutte activement contre toute forme de discrimination. Nous sommes convaincus que la diversité contribue à la créativité, au dynamisme et à l'excellence de notre organisation. Chaque candidature est donc considérée indépendamment de tout critère discriminatoire
\n

Si vous partagez notre passion pour la technologie et que vous souhaitez construire le monde numérique responsable de demain, alors vous êtes peut-être le passionné que nous recherchons chez Devoteam.

Ne collaborer sur le long terme qu'avec des collaborateurs et collaboratrices hautement compétent·es et ayant un impact positif sur le collectif.
Toujours rechercher une \"meilleure façon\" de faire les choses.
Être ouvert·e d'esprit aux idées changeantes et aux approches nouvelles.

Devoteam A Cloud s’engage à promouvoir la diversité et est fier de favoriser l’égalité des chances au sein de l’entreprise. Chaque candidature est considérée sans tenir compte de l’origine, de la couleur de peau, de la religion, du genre, de l’identité de genre, de l’orientation sexuelle, du handicap, des caractéristiques génétiques ou de l’âge.

Parce que nous voulons que le savoir soit utile au plus grand nombre, nous croyons à l’inclusion de toutes et tous.

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Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Staff Software Manager

Location: Manyata Tech Park, Bangalore (Hybrid)

Business & Team: Our Bankwest Technology division is at the heart of our digital product strategy, and is responsible for the management and deployment of technology change across the organisation. Our tech teams work at pace, with autonomy and local decision making, to deploy world-class solutions in the pursuit of our business strategy.

You’ll be joining our Bankwest Tech Team, a critical supporting function that allows teams to deliver rapidly whilst still aligning to a strategic roadmap. As a team of trusted internal consultants, you’ll provide the expertise, guidance and technology governance to delivery teams to plot a pragmatic path between today’s deliverables and our longer term enterprise objectives. You’ll provide input into roadmaps, best practice, standards and methodologies to help ensure high quality outcomes, and oversee implementation to ensure business objectives are met.

Since you bridge the gap between business problems and technology solutions, you’ll need to be equally comfortable engaging with senior stakeholders as with engineering teams, and excellent communication skills (in both directions) are a must. And often you’ll work across a range of different initiatives, so whilst you’re never short of a challenge, the ability to work independently and manage your own time is important

Impact & contribution: As a Staff Manager you are:

Empathetic and self-aware. You think and care deeply about how you might interact with your team, stakeholders and customers.
A Mentor, harboring a passion to nurture, grow and influence those around you to think differently and always maintain a growth mindset.
Innovative. You continually seek to improve the status quo for our customers. You inspire your team to do the same and remain resilient through change.
Promoting quality and delivering at pace through the maximization of automation is one of the key focus areas of the role.
Ownership, you take responsibility for the software design, engineering processes and quality standards of yours as well as your team members as you work in a collaborative environment.

Roles & responsibilities:

As a Staff Software Manager, you -

All aspects of the SDLC which includes Analysis, Estimation, Design, Development, Quality Assurance, Support, Maintenance and Optimization tasks.
Should be a quick learner and be flexible and open to learn modern technology and frameworks and write code.
Drive pragmatic and fit for purpose solutions of high technical quality.
Maintaining software design, engineering processes and quality standards including maintaining privacy of customer information and following secure code practice.
Provide tools, expertise, and knowledge to help squad gain a shared understanding of outcome and shared ownership of quality.
Should be aligned to Full spectrum engineering squad.
Maintains awareness of changes in the external environment and continuously advances the capability.
Pro-actively look for ways to provide faster feedback, including uplift in test automation maturity in the squad.
Work collaboratively with engineers within and across squads.
Support the team in delivering quality outcomes within committed time frames.
Follow secure code practices.

Essential Skills:-

Minimum 12 years of experience with expert level knowledge, working with the following languages.
Java and J2EE
Angular or equivalent Frontend technology
REST and API Development
Spring Framework
Front End Web Development (Angular preferred – only for Full stack.
Experience working with the following Tools and Frameworks:
Experience in DevSecOps tools and frameworks
SRE Awareness
PowerCurve Integrations
Experience working in AWS (preferred)
IDEs (Visual Studio Code & IntelliJ)
NodeJS and NPM (only for Full stack)
Automated Testing frameworks such as JUnit, Playwright and DevTest
Source Control systems such as GitHub
Build & Deployment tools such as TeamCity, Octopus Deploy
Monitoring tools such as Splunk, AppDynamics, Checkmarx
Database such as Oracle, MySQL etc.

Educational Qualification:

Bachelor’s degree or Master’s degree in engineering in Information Technology.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

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We're transforming into the future of banking—leading a bold, product-driven shift that's redefining how technology powers CBA.
You have that rare blend of deep technical expertise and architectural vision and you know how to turn bold ideas into exceptional customer experiences.
Together we’re building the future of banking—leading a bold, product-led transformation to create Australia’s most advanced financial platform, redefining how technology is built and delivered at scale.

Do work that matters:

We're building tomorrow’s bank today, which means we need creative and diverse engineers to help us redefine what customers expect from a bank. Envisioning new technologies that are still waiting to be invented and reimagining products that support our customers and help build Australia’s future economy.

This role puts you at the forefront of transforming customer experiences by solving real problems with cutting-edge solutions. You’ll lead a customer-first approach—attending branch visits, being part of customer interviews, participating in design workshops. Your work will shape innovative design and engineering solutions across key areas like customer onboarding, identity verification, international money transfers, and next-gen app experiences. It’s a chance to make a real impact, build meaningful products, and help redefine how technology serves our diverse customer base.

Whether you're building hyperscale systems, crafting seamless React experiences, or engineering high-performance backends—if you thrive on turning complex tech into real customer impact and love collaborating across Product, Design, and Engineering, this is your moment. Join a greenfield squad reshaping everyday banking for 17 million Australians, where every decision makes a difference.

See yourself in our team:

The CBA technology unit delivers the best digital banking services to Commonwealth Bank customers and to do so is responsible for digital delivery, group data and analytics, technology and technology infrastructure, cyber, fraud, physical security and business resilience for all divisions across CBA. It is also dedicated to delivering the best workplace technology experience for our over 53.000 people across CBA and focused on providing the latest tools, technology, and resources to enhance the way we work together and empower our people to achieve more for our customers.

Join our Everyday Banking Domain in the Retail Banking Technology Division and help shape the future of banking. We're hiring Staff Software Engineers to join a new squad focused on solving real customer problems through innovative, end-to-end solutions— from customer onboarding and identity verification to international money transfers.

Partnering with Silicon Valley Product Group (SVPG), we’re revolutionising engineering and delivery with a product-led, problem-first mindset. You’ll work hands-on in product discovery and provide deep technical expertise to product and design on how tech can be used to better solve customer pain points.

We’re interested in hearing from people who:

Engineer at the intersection of vision and execution—staff-level architects who turn broad product ideas into clear technical strategies, while staying hands-on in the codebase.
Bring deep expertise in .NET, Java, or TypeScript, with experience building distributed systems, modelling complex domains, and designing platforms that scale by default.
Own outcomes beyond features—engineers who think in systems and build infrastructure that supports long-term growth.
Embody intellectual curiosity—contribute to open source, enjoy solving tough production issues, and see every challenge as a chance to learn.
Balance technical depth with team impact—leaders who elevate those around them and are trusted to solve the hardest problems.
Thrive in the tension between speed and quality—engineers who know that sustainable delivery comes from strong technical foundations.

Tech skills:

We’re looking for Staff Software Engineers with experience in one or more of the following:

Backend: .NET, Java, or Typescript.
Frontend: NextJS and React.
Architecture: Deep expertise in Microservices, GraphQL (Apollo), RESTful APIs, and domain-driven design.
Databases: Postgres, MongoDB, Neo4j.
CI/CD: GitHub Actions, Jenkins, Bitbucket Pipelines, Gitlab Runners
Container: Docker and Kubernetes.
Cloud: AWS, S3, SNS, SQS, EC2, Lambda, EKS.
Security: OWASP Top Ten, ISO 27001.

Bonus tech skills:

Any of the following skills or experiences would be a great bonus and help you stand out:

High TPS payment systems and networks.
Machine learning experience for recommendation and suggestion systems.
Frontend design systems.
Server driven UI with iOS and android applications.
Event driven architecture with Kafka.

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Company Description

Wiser Solutions is the global leader in omnichannel retail intelligence, empowering over 750 global brands and retailers to gain a decisive advantage at every consumer decision point. Every day, Wiser collects and analyzes billions of online and in-store data points with 98% accuracy, offering a single trusted source of insights into pricing dynamics, promotional effectiveness, competitive activity, and retail execution. Their portfolio of market-proven solutions equips brands and retailers to proactively guide, not just follow, the consumer journey, ensuring optimal visibility, execution, and profitability across every retail touchpoint.

Job Description

Location of Job: Remote- Canada

We are looking for a hands-on Staff software engineer to join a team responsible for developing the microservices and web applications that power our data collection and matching processes and drive execution and innovation within our online retail/brand execution suite of products. You will play a pivotal role in developing the next generation consolidated Matching platform capable of handling over 200 million transactions per day. Our team is introducing domain driven design, event sourcing, CQRS, and other patterns to better serve the scale, reliability and many other needs of our largest customers. If you have a passion for distributed system design, optimization, and data integration challenges, this may be the role for you.

Essential Functions:

Ship the value that matters most – you are extremely product-driven: you solve the highest value problems incrementally and in the ways that work best for our business

Execute, execute, execute – you deliver efficiently and effectively, you use metrics that drive success, you make high integrity commitments and follow through on them

Raise the bar – you care deeply about your craft and high-quality code, consistently looking for ways to improve the codebase and holding other accountable to the same standard

Collaborate and align – you are a great partner not just to the product team, but also to your peers for other product lines, architecture, data science, and infrastructure

Communicate clearly – you ensure everyone from the executive team to the individual developers understands what needs to be done, what is being done, and when it will be done

Bring new ideas to the table – you are a strategic contributor to our business

Technologies We Use:

Languages: Python, NodeJS/NestJS/Typescript, React/Redux, Java, GraphQL

Infrastructure: AWS, DBT, Docker, Kubernetes, Apache Spark, Apache Airflow, Terraform, GitHub Actions, ArgoCD, Prisma

Databases: MongoDB, Postgres, MySQL, Trino, Iceberg, Redis, Memcached

Streaming and Queuing: Kafka, NATS, RabbitMQ, Keda

Qualifications

BS in Computer Science or related technical field

12+ years of professional software engineering experience.

Prior experience in a Principal Engineer, Staff Engineer, or equivalent senior technical leadership role

Experience leveraging AI coding assistants and modern development tools to enhance productivity and code quality

Strong coding background in multiple languages.

Proficient with writing both front-end and server-side code.

Track record of challenging existing solutions and introducing innovative approaches that deliver measurable business value

Ability to translate business needs into technical capabilities and contribute to strategic technical roadmap planning

Ability to guide and coach multiple engineering teams on software design principles and best practices.

Deep system design skills with meaningful experience designing high-scale complex distributed systems.

Demonstrable technical background with understanding of modern tech stacks, object/data modeling, business process.

Proven ability to learn quickly, make pragmatic decisions, and adapt to changing business needs.

Track record of lifting and challenging teammates to higher levels of achievement.

Strong experience working with both relational and unstructured data.

Proficient with Linux, cloud computing (AWS, etc.) and containerization.

Outstanding organizational, communication, and relationship building skills conducive to driving consensus; able to work well in a cross-functional environment.

Ownership – feel a sense of personal accountability/responsibility to drive execution from start to finish while empowering team members around them.

Experience in leading & balancing priorities across multiple delivery teams working across multiple time zones (US/Canada, Europe and India)

Excellent analytical and problem-solving skills with a history of hands-on, detail orientation.

Additional Information

This role requires being part of an on-call rotation. On-call duty corresponds to being available to respond to critical system issues.

Other Duties - Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO STATEMENT - Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.

Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be CAD$175,000 to $195,000, at the time of this posting.

Performance-based discretionary bonuses and variable pay plans are available for some positions.

If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469-4737. \"

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Job Description Summary

You will be part of the core team at GE Digital Grid Software Business that is using software to enable de-carbonized future of energy for the planet by designing, building, delivering, and maintaining software applications & services for next generation Grid Software that orchestrates 40% of the world’s power today.

Responsible for programing a component, feature and or feature set. Works independently and contributes to the immediate team and to other teams across business. You will also contribute to design discussions.

Job Description

Roles and Responsibilities

In this role, you will:
• Be responsible for defining, developing, and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
• Provide technical leadership to an agile team of 5-7
• Work with Product Line Leaders (PLLs) to understand product requirements & vision
• Translate requirements / vision into prioritized list of user stories and deliver to required timelines and quality standards
• Work with product line leaders and architects to develop multi generation software technology plans
• Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse
• Support process improvements which guide the development, sustaining & support activities
• Work cross functionally with other business departments to align activities and deliverables
• Drive world-class quality in the development and support of products
• Ensure team receives consistent messages and has clear understanding of business direction, strategy and results
• Engage subject matter experts in successful transfer of complex domain knowledge
• Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
• Write code that meets standards and delivers desired functionality using the technology selected for the project
• Understand performance parameters and assess application performance
• Work on core data structures and algorithms and implement them using technology chosen
• Proactively share information across the team, to the right audience with the appropriate level of detail and timeliness

Education Qualification

Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.

Technical Expertise:

Strong knowledge of Java and Spring / Spring boot
Advanced experience with micro-services architecture and web services (REST, SOAP)
Advanced experience with containerization technologies such as Docker, Kubernetes, and Helm
Experience with web development using JavaScript, ideally TypeScript and Angular
Experience/Strong understand of designing web applications in distributed architectures
Proficiency and understanding in key algorithms and data structures,
Proficiency working in both Windows/Linux environment
Working knowledge in databases, SQL preferably.
Hands-on experience in writing Unit test automation
Hands on experience in a scripting language Python or/And PowerShell and package manager like Conan, Source Control Tools like Git
Hands-on experience in Microservices & AWS (Added advantage)
Familiarity with CI/CD and Azure DevOps pipelines
Ready to work in existing product, strong troubleshooting/debugging skill, resolving complex technical & customer feedback
Experience working in Power Grid Domain in products like AEMS is a plus.

Business Acumen:
• Demonstrates the initiative to explore alternate technology and approaches to solving problems
• Skilled in breaking down problems, documenting problem statements and estimating efforts
• Demonstrates awareness about competitors and industry trends
• Has the ability to analyze impact of technology choices

Leadership:

• Ability to takes ownership of small and medium sized tasks and deliver while mentoring and helping team members
• Ensures understanding of issues and presents clear rationale. Able to speak to mutual needs and win-win solutions. Uses two-way communication to influence outcomes and ongoing results
• Identifies misalignments with goals, objectives, and work direction against the organizational strategy. Makes suggestions to course correct
• Continuously measures deliverables of self and team against scheduled commitments. Effectively balances different, competing objectives
Personal Attributes:
• Strong oral and written communication skills
• Strong interpersonal skills
• Effective team building and problem solving abilities
• Persists to completion, especially in the face of overwhelming odds and setbacks. Pushes self for results; pushes others for results through team spirit

Note

To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information

Relocation Assistance Provided: Yes

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About Calo

Launched in Bahrain in November of 2019, Calo is on a mission to make healthy easy. We’re a team of dedicated people driving this mission by providing better, faster, and cheaper ways to access food through technology.

Role Overview

We're seeking an experienced and passionate Staff Software Engineer to design, develop, and maintain reliable, secure, and well-tested backend systems. As a Staff Software Engineer, you will write clean, production-ready code, help shape the architecture, and lead by example in code reviews and best practices. You will work closely with the Product team and fellow engineers as part of the platform team to release new features, enhance performance, maintain the codebase, and ensure its security. A significant advantage if you enjoy mentoring and tackling challenging edge cases.

Main Responsibilities

Write clean, testable, and production-ready code that handles edge cases, performance, and security.
Propose and execute architectural decisions.
Own feature development end-to-end — from idea to production
Write unit and higher-level tests, follow the testing pyramid, and use quality metrics to spot gaps
Create well-scoped PRs with clear descriptions, review others’ code for quality, coverage, and acceptance criteria
Mentor engineers and lead code reviews, sharing best practices and fostering growth
Proactively identify opportunities to simplify code and improve technical design and workflows
Monitor system health, own incidents, and ensure CI/CD and deployment readiness
Communicate clearly with technical and non-technical teams, keeping Jira and project tracking up to date
Propose tools and processes that boost team productivity and participate in retrospectives to drive improvement
Encourage experimentation, cross-functional collaboration, and open discussion in team meetings
Support hiring efforts by interviewing candidates and providing thoughtful, fair assessments

Ideal Candidate

Must have 5+ years of backend experience, including 4+ years working with Node.js and TypeScript in production environments
Must have strong experience building serverless systems, microservices, and event-driven architectures at scale
Must have deep knowledge of AWS services such as Lambda, Cognito, S3, DynamoDB, SQS, SNS, and CloudFormation
Must have a solid understanding of NoSQL (especially DynamoDB) and working experience with SQL databases
Must be well-versed in TDD, clean architecture, CI/CD pipelines, and modern testing practices
Must be familiar with REST and GraphQL APIs, performance monitoring, and secure coding standards
Must be able to make architectural decisions, mentor engineers, and lead by example through code reviews and knowledge-sharing
Must be proactive, collaborative, and able to navigate ambiguity in cross-functional, distributed teams
Startup or fast-paced team experience is a plus
Strong communication skills, with the ability to work across disciplines and contribute to a healthy, high-performing team culture

","hiringOrganization":{"@type":"Organization","name":"Calo","sameAs":"https://calo.app"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bahrain - Remote","addressCountry":"Bahrain","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-20","description":"About MoonhubRecruiting is a $70B industry that impacts millions of people’s livelihoods and Moonhub is on a mission to build the world’s first AI recruiter. We’re a team of AI researchers, software engineers, and technical recruiters. The Moonhub platform orchestrates agentic actions over a vast amount of workforce data to tackle complex workflows. Recruiters are able to collaborate with the AI to quickly analyze talent pools, find and evaluate candidates, and manage multiple pipelines.
Moonhub’s founder, Nancy Xu, started a recruiting agency while researching AI at Stanford. We’ve raised funding from Khosla Ventures, Marc Benioff (Salesforce founder), and others.
About the RoleAs a Fullstack Software Engineer, you will lead the design, development, and delivery of AI services and products. You will tackle ambiguous problems in recruiting with even more ambiguous data, software, and AI solutions. You will collaborate closely with product, design, and recruiting to prototype innovative approaches and architect scalable systems. Your technical expertise and leadership ability will contribute to the success of the team and the product.
Requirements6+ years software development experience at a venture-backed startup or top technology company.2+ year operating in a technical lead capacity.Ability to understand complex domains and product requirements and translate into high quality product and technical solutions.Fluency in building backend and full-stack web applications in Python and ReactExcellent technical communication and ability to collaborate with partners of all levels and functions.
Nice to havesExperience in mentoring fellow engineers through pairing, code review, and giving actionable feedback.Experience building products and systems that leverage ML, AI, and LLMsExperience in startup environment (founder or early engineer)Experience working in data intensive applicationsExperience with search","hiringOrganization":{"@type":"Organization","name":"Moonhub","sameAs":"https://www.moonhub.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"SF Bay Area, Remote","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-18","description":"

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About The Role

We’re looking for a Staff Software Engineer to join our core platform team and perform a healthy mix of design and implementation tasks to advance the technical foundation behind the Fivetran product offering.

This team is tasked with evolving a high performance extract-load-transform data integration system that enables our engineering teams to correctly implement hundreds of data connectors with minimal maintenance effort. The role will challenge you to reason about relational semantics, powerful abstractions, data representation, and software performance. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!), but you will need to have experience working carefully with a high impact software team — especially in environments where the best option may not be obvious, your decisions have cascading implications, and where you sometimes need to measure twice before you cut once.

A successful candidate will be humble enough to collect diverse input and build consensus, will be experienced and confident enough to be decisive when it’s needed, and will be practical enough to build and iterate on the system while it’s in production. We are also looking for a high level of expertise and productivity with modern software development environments.

This is a full-time position based in our Amsterdam office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You'll Use

C (our main language), Python (used in testing),
Relational databases (Postgres, Oracle, SQL Server),
make GitHub Copilot, Jenkins, GCP, Azure, AWS
macOS/Linux/Unix/Windows, git

What You'll Do

Learn deeply about Fivetran in order to focus development on practical and relevant system improvements
Contribute to the development and planning of our platform roadmap
Collaborate with a small but mighty core team, and with a broader set of stakeholders
Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
Review and approve technical design documents and pull requests
Mentor other senior members of the team on their own challenges
Care and feel ownership of our product platform, and leverage your skills towards improving it

Skills We're Looking For

You are execution-oriented, and understand the need to target your “innovation budget” for the greatest impact: you find the middle ground between “perfect, but takes forever to code” and “fixes it now, but nobody will ever be able to understand what I did”
You know how to design and code systems and software that is effective, intuitive, easy-to-operate, and elegantly simple
You have worked with the relevant tooling and techniques: cloud services, network protocols, serialization, relational databases, etc.
You are skilled at communicating technical topics and risks to both technical and non-technical audiences
You are adept at inclusive alignment discussions: balancing soliciting input with influencing peers and advocating for yourself
You have knowledge of complex structures, object orientation, exceptions, memory management techniques.

Bonus Skills

Experience with data replication, ETL/ELT tools, cloud and software defined infrastructure tools (for instance AWS Cloud Formation, Kubernetes, Docker), API technologies and analytics is definitely a plus
Knowledge of DBMS internals, such as the transaction logging system, is a strong plus
Familiarity with low level concepts, such as encoding and the internals of network communication, is a strong plus
Familiarity with system level programming (such as process and memory management and inter-process communication) is a plus

#LI-HYBRID

#LI-IM1

Perks and Benefits

100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran's Benefits by Region.

\n\n

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

\n\n

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

","hiringOrganization":{"@type":"Organization","name":"Fivetran","sameAs":"https://www.fivetran.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, North Holland, Netherlands, EMEA","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-18","description":"

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance.

TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR.

Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody’s perfect – and we encourage you to apply. You may just be the right candidate for this or other roles.

The ideal candidate will have hands-on technical skills and be able to operate as a full stack software engineer. The ideal candidate will have demonstrated broad experience in building enterprise level SaaS web applications. Have strong communication and critical thinking skills for designing customer facing and internal user facing features and portal experience around a modern SaaS application.

ESSENTIAL DUTIES/RESPONSIBILITIES

Fullstack development experience covering backend to frontend. No CICD/DevOps experience required.

Be able to develop in a full stack environment: Django, Python, React, GraphQL

Expert in Django framework

Good understanding of different design patterns

Be able to integrate third party vendor technology into a SaaS application

Be able to create scalable designs

Excellent knowledge of AWS components – AWS Lambda, S3, etc. that can be used to stand up a security automation control

JOB REQUIREMENTS AND QUALIFICATIONS

Education:

Bachelor's degree in computer science/engineering or equivalent education and/or related work experience

Training Requirements (licenses, programs, or certificates):

Experience:

Must have 8+ years of software development experience.

Other Knowledge, Skills and Abilities:

Thorough, detail-oriented, and quality-driven with excellent communication and inter-personal skills

A customer service mentality with focus on agile, project management and risk-based thinking.

Excellent verbal and written communication, including presentation and facilitation skills. Must be able to write down technical designs.

Ability to communicate with employees at all levels of the organization.

Strong analytical and problem-solving skills.

A demonstrated commitment to high professional ethical standards and a diverse workplace.

WORK ENVIRONMENT/OTHER INFORMATION (Travel required, physical requirements, on-call schedules, etc.)

Minimal travel required.

Work mode: Hyderabad (in office)

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.

TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact India.Careers@trinet.com to request such an accommodation.

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About Us:

Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry!

Responsibilities:

As a Staff Software Engineer, your primary responsibilities will be to own design and delivery of full stack product features. A key component of your work will be to scope out and build the best-possible data solutions to green-field problems at scale. This includes working directly with customers to define the problem, shortlisting tools and technologies, implementing and validating production grade software, evaluation, and deployment.

You'll build key product features with direct impact on company success. You'll work closely with customers to understand their problems and requirements. You'll focus on generalizing your work and building abstractions that improve a variety of integration with common data stack oriented technologies.

Requirements

You have minimum 8 years of writing production grade software, ideally with experience at a B2B SaaS company
Experience with a modern object-oriented language such as Python, Go and Java
Strong experience with React and have led Frontend projects
You’re excited about being cross-functional and owning the lifecycle of building novel solutions to complex problems — from development to deployment.
You stay up-to-date with the latest developments in your area of interest in both software development and the data space. You’re comfortable reading technical papers and documentation, and reproducing the results in a production environment.
You’ve previously worked with a variety of backend technologies, including Infrastructure as Code (Terraform/Pulumi), relational databases and NoSQL databases, and modern API frameworks.
You’re really excited about solving the biggest challenges in the modern data stack and building applications that leverage these technologies for solving complex data problems.
You enjoy fast-paced environments and exhibit a high degree of ownership and self-sufficiency. Unstructured environments are exciting to you because they represent opportunities for growth and leadership.

Tech Stack:

TypeScript
Python
Node
Postgres
AWS
Snowflake
Rust

Benefits

Be part of a pioneering team that is redefining the data industry.
Work on cutting-edge technology with the opportunity to make a significant impact.
Collaborate with a talented and passionate team of engineers and industry experts.
Enjoy a dynamic, fast-paced, and supportive work environment.
Competitive compensation package and benefits.

If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you.

Gable.ai is an equal-opportunity employer and encourages applications from candidates of all backgrounds and experiences.

","hiringOrganization":{"@type":"Organization","name":"Gable","sameAs":"https://www.gable.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-21","description":"

STAFF SOFTWARE ENGINEER

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Are you bready* for a change?

Toast is looking for a Staff Software Engineer to join our Loyalty Integrations team. You will get to work on a best in class enterprise level Loyalty solution for customers from single location restaurants all the way up to our largest enterprise customers. As a member of the Loyalty Integrations team, you will help ensure that the product is being built to meet the new and expanding needs of these customers.

About this roll* (Responsibilities)

Design, build, deploy, and maintain highly resilient and scalable features
Lead complex projects that improve functionality and reliability for our customers and partners
Partner with a wide array of teams across Toast
Ensure quality by building automated testing for changes
Roll* features out to customers and partners, including monitoring for success
Collaborate with UX and PM on the definition and design of features
Mentor and coach other engineers

Do you have the right ingredients*? (Requirements)

9-13 years experience building backend services and APIs
Extensive experience working with an Object Oriented Language like Java or Kotlin, with a deep understanding of testing, quality, and best practices
Experience shipping production services and balancing getting things done with platform stability and reliability
Experience building backend services and APIs and scaling distributed systems
Experience building android applications with kotlin is a plus
Focused on delivering positive impact for Toast customers
Enjoys working in a team environment with a shared code-base
Excellent cross-team communication skills on complex technical topics

We are hiring individuals with a wide range of experience so if you have more or less than these exact roles, please still apply!

Our Tech Stack

Toast’s products run on a stack that ranges from guest and restaurant-facing Android tablets to backend services in Java and Kotlin to internal, guest-facing and restaurant-facing web apps. Our backend services follow a microservice architecture written using Java 8/Kotlin and DropWizard; we use AWS extensively, ranging from S3 to RDS to Lambda. We have our own platform for dealing with user management, service elevations and robust load balancing. Toast stores data in a set of sharded Postgres databases and utilizes Apache Spark for large scale data workloads including query and batch processing. The front-end is built primarily using React and ES6. The main Toast POS application is an Android application written in Java and Kotlin. For data between tablets and our cloud platform we operate Pulsar clusters as well as direct tablet communication to the back end.

*Bread puns encouraged but not required

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

------

For roles in the United States, 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.

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Description

Chips Talk, We Listen

proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics.

Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech.

Why proteanTecs is a great place to work:

Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics.
Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment.
International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry.
Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products.
Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs.
Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics.
We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth.

proteanTecs is looking for a Staff Software Engineer to join the ride as we spearhead the next revolution in electronics!

Requirements

BA or B.Sc in Computer Science
A team player with strong interpersonal skills
6+ experience in large-scale software solutions, with experience in SaaS-based solutions
Hands-on experience with development in Java and/or python
Experience with Micro-Services architecture and high availability best practices
Strong experience with Docker & Kubernetes
Expertise in microservices deployment, CI/CD methodologies, and workflow solutions (open-source or commercial)
Hands-on experience with Big Data solutions, Data Lakes, Data Warehouses, and analytics solutions (e.g., Tableau, Vertica, Elasticsearch or other commercial/open-source tools)
Experience with cloud vendors, such as AWS, GCP, Azure, or Alicloud

Responsibilities

Lead the architecture of a high-scale product across multiple clusters and different clouds
Collaborate with platform architect, product managers and software development teams to deliver scalable architectural solutions
Conduct proof-of-concepts (POCs) and propose alternatives to meet product and architecture goals
Ensure the robustness, flexibility, and security of our cloud solution
Guide and mentor software engineers
Drive improvement of design processes, code and product quality

Personal skills

\nNone","hiringOrganization":{"@type":"Organization","name":"proteanTecs","sameAs":"https://www.proteantecs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv-Yafo, Tel Aviv District, IL","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-15","description":"

Staff Software Engineer – Fullstack

You are passionate about hands-on software development, and at the same time can lead software development lifecycle end to end.
We are high performing engineers pushing the boundaries of software engineering
Together we will build tomorrow’s bank today, using world-leading technology and innovation

Do work that matters

The Deposits, Pricing and Governance team is at the centre of the innovation happening in Everyday Banking. We are working to revolutionise the customer experience when it comes to Savings, Term deposits and Safe custody products with an objective to delight our customers. This is achieved through continuous innovation & improvement of our solutions, products and tech modernization.

See yourself in our team

As a hands-on technology leader with full stack experience, you will be working in a team of highly capable engineers and also leading initiatives for from design to delivery. Being product aligned and customer obsessed, you’ll own what you build (full cycle engineering model) and will be working in the latest technologies and frameworks (.Net Core, Next.js, AWS, Micro Services, Containerization and Gen AI).

We’re interested in hearing from people who

Are passionate technology leaders who still love being hands-on, designing, problem solving & taking ownership for Technology challenges from start to finish
Act as a great mentor & people leader who can build a good community of engaged & curious engineers who find excitement in building amazing products for our customers
Have solid experience in the full software development lifecycle using Agile practices and DevSecOps
Have expertise designing and building Core and Web API’s, web applications and running independent PoC’s
Are confident in their solution design capabilities, stakeholder engagement and leading technical conversations in group forums & can lead and nurture our engineers to do the same.
Actively get involved in continuous learning, experimentation, and innovation, ready to apply and promote industry best patterns and practices

Tech Skills

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;

Programming Languages & Frameworks:

C#, typescript, JS
ASP.NET Core & .NET Standard
Web API
Angular, Next.js

Architecture & Infrastructure:

Cloud Platforms: AWS or Azure
Microservices Architecture
Event-Driven Architecture with Kafka
Kubernetes/Docker for Containerization

Databases:

QL & No-SQL Databases

Design & Development:

System & Solution Design focus
Experience converting business requirements into technical requirements & designs
Experience designing High Throughput/Low Latency systems
Caching Strategies

Observability & Monitoring:

Grafana
Prometheus
Logging and Monitoring Best Practices
Understanding of Critical User Journeys (CUJ)
Experience defining SLOs and SLIs

Continuous Integration/Continuous Deployment (CI/CD):

Sound understanding of DevOps Practices
Feature flagging and continuous delivery
GitHub Actions
TeamCity (Nice to have)
Octopus Deploy (Nice to have)

Testing:

Blaze Meter, K6
Playwright
Unit, Component, Integration and e2e testing

Working with us

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace. One where we’re driven by our values, and supported to share ideas, initiatives, and energy.

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities

Advertising End Date: 28/07/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eveleigh, NSW - 1 Locomotive Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-02","description":"

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

**This position requires you to work from the ServiceNow Orlando office in Florida for two days per week**

What you get to do in this role:

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Get to make our (internal) Customers (Dev, QE, Release ... Engineers) Productive
Directly contribute in innovative tools, processes & solutions: design, develop, deliver and put to optimal use within ServiceNow.
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
6+ years of experience with Java or a similar OO language
Passion for JavaScript and the Web as a platform, reusability, and componentization
Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations
Clear Understanding (and some hands on experience) of Unix Systems, Cloud Engineering (Servers, Network, Sys Engg, Virtualization)
Understanding and experience of Containerization Stack (like Docker, Kubernetes) and their use in efficient & intelligent DevOps lifecycle.
Experience with any of the modern UI frameworks like Angular, React or Vue
Analytical and design skills
Ability to manage projects with material technical risk at a team level

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

","hiringOrganization":{"@type":"Organization","name":"ServiceNow","sameAs":"https://www.servicenow.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Orlando, Florida, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-03","description":"

R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For TM 2023 by Great Place To Work® Institute. We are committed to transform the healthcare industry with our innovative revenue cycle management services. Our goal is to ‘make healthcare simpler’ and enable efficiency for healthcare systems, hospitals, and physician practices. With over 30,000 employees globally, we are about 14,000 strong in India with offices in Delhi NCR, Hyderabad, Bangalore, and Chennai. Our inclusive culture ensures that every employee feels valued, respected, and appreciated with a robust set of employee benefits and engagement activities.

Job Description:
R1RCM is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers. We are looking for an experienced AI/ML engineer to join our R&D team, who can work on ML (Machine Learning) models, use deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference in the healthcare industry.

Objectives of this role

Develop and implement solutions/processes and carry out R&D (Research and Development) to meet the needs of our AI/ML strategy.
Help in design and development of advanced analytic solutions across functional areas as per requirement/opportunities.
Foster innovative ideas for developing high impact solutions.

Responsibilities

As part of the R&D team, help the team to advise leaders on a broad range of technology, strategy associated with AI (Artificial Intelligence) & ML
Work on functional design, process design (including scenario design, flow mapping),prototyping, testing, and support procedures, in collaboration with the team.
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
Work as team members, develop & assess the AI/ML and automation opportunities.
Enable team members/as individual contributors to make necessary changes in product performance or presentation.
Develop new and innovative AI/ML based solutions and PoC (Proof of Concept)/MVP with quick turnaround

Must have skills.

6-10 Years of experience in IT including 3+ years in developing / applying ML /AI models to practical and comprehensive technology solutions.
Must be graduate in Computer Science preferably B. Tech/B.E. or MCA etc.
Experience with ML, Python, NLP, Azure services, OpenAI, GenAI, LLM.
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns.
Experience in API development/consumption.
Experience with frontend technologies like Javascript/Jquery/React/Angular
NoSQL/RDBMS database design and optimizations.

Good to Have Skills

Good to have knowledge of any other programming and/or scripting language.
Exposure to Cloud technology like AWS (Amazon Web Services) / GCP (Google Cloud Platform).
Open and willing to learn & work in any technology.
Experience with visualization tools (e.g., Power BI, Tableau etc.)
Experience in Healthcare sector e.g. RCM

Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.

Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visit: r1rcm.com

Visit us on Facebook

","hiringOrganization":{"@type":"Organization","name":"R1 RCM","sameAs":"https://www.r1rcm.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-Sector 135-Noida, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-02","description":"

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Staff Software Engineer to join our Buyer Experience technology organization. As a senior individual contributor, you will guide software implementation across multiple engineering teams and influence the broader technology organization. You’ll bring experience and expertise to help us build fast, reliable, and delightful solutions for buyers within our manufacturing marketplace.

Responsibilities:

Driving Design: An important portion of your role is writing design for new projects, and then participating in implementation with the team. Planning all steps in the direction of the target state architecture would be key.
Code Review and setup code review guidelines: You will do code review and mentor others within the organization to perform good code reviews
Coding: Your work will involve a lot of hands-on good quality coding with an aim to deliver towards our strategic business and tech initiatives.
Guide Innovation: Champion the adoption of a good mix of traditional and cutting-edge technologies and methods.
Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
Collaborative Strategy: Forge strong partnerships with product managers, designers, and company leadership to promote a culture of open communication, good collaboration, and high standards.

Qualifications:

M.S. in computer science, or engineering required.
At least 6 years of experience in software development, in a fast-paced, product-driven environment.
Experience with a marketplace or e-commerce product is highly desired.
Strong technical expertise in a full-stack environment. You should be familiar with: REST API design, Python, The core of HTML, DOM, and CSS
You will be a part of full-stack teams and you are expected to become proficient in Python, and React/Typescript design and development
Demonstrated ability to interact and communicate effectively with junior-level ICs all the way to technology, product, and business executives.
Excellent thought process, execution, and communication skills

#LI-Hybrid

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

","hiringOrganization":{"@type":"Organization","name":"Xometry","sameAs":"https://www.xometry.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, MA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-02","description":"

Responsibilities:

Driving Design: An important portion of your role is writing design for new projects, and then participating in implementation with the team. Planning all steps in the direction of the target state architecture would be key.
Code Review and setup code review guidelines: You will do code review and mentor others within the organization to perform good code reviews
Coding: Your work will involve a lot of hands-on good quality coding with an aim to deliver towards our strategic business and tech initiatives.
Guide Innovation: Champion the adoption of a good mix of traditional and cutting-edge technologies and methods.
Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills.
Collaborative Strategy: Forge strong partnerships with product managers, designers, and company leadership to promote a culture of open communication, good collaboration, and high standards.

Qualifications:

M.S. in computer science, or engineering required.
At least 6 years of experience in software development, in a fast-paced, product-driven environment.
Experience with a marketplace or e-commerce product is highly desired.
Strong technical expertise in a full-stack environment. You should be familiar with: REST API design, Python, The core of HTML, DOM, and CSS
You will be a part of full-stack teams and you are expected to become proficient in Python, and React/Typescript design and development
Demonstrated ability to interact and communicate effectively with junior-level ICs all the way to technology, product, and business executives.
Excellent thought process, execution, and communication skills

#LI-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Xometry","sameAs":"https://www.xometry.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Bethesda, MD, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-02","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.

The Privileged Access Management Team (PAM)

The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale.

The Staff Software Engineer:

We are looking for a Backend Software Engineer to join our fast-growing team with a focus on scalability, reliability, and enhancing the building blocks of the product.

What you'll be doing:

Be deeply involved in evolving the core architecture of PAM.
Work in our product development teams to build scalable, composable components of our platform.
Be responsible for designing and implementing scalable architecture patterns.
Design and build APIs with OpenAPI Specification that customers rely on for access to production infrastructure.
Work on backend systems written in Go or Java
Participate in the rotational on-call activities with SRE and product development teams.

What you'll bring to the team\"

Are an experienced full stack engineer with a background in Golang or Java
Experienced working with relational databases like PostgreSQL or similar RDBMS technologies.
Have the ability to design database models and backend APIs.
Have experience working with cloud services like Caching, Queues, NoSQL Databases etc.
Experienced working with any cloud provider such as AWS, GCP or Azure.
Thrive in a collaborative environment built on end-to-end ownership.
Love thinking about distributed systems, and the reliability, availability, and performance implications of the decisions made in their design.
Enjoy deep-diving into production metrics, and familiarity with monitoring tools like Splunk, DataDog etc.
Think in terms of systems, services, and APIs.

Required education and experience:

6+ years working as a software engineer.
Experience working with production systems.
Bachelors in CS, or equivalent

#LI-remote

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:$146,000—$220,000 CAD

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/.

","hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-16","description":"

Quantum computing holds the promise of humanity’s mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised. We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint.

By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more.

PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier-1 semiconductor fabs such as GlobalFoundries where we leverage high-volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don’t feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity.

In 2024, PsiQuantum announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing’s potential impact and the need to scale this technology to unlock that potential. And we won’t just be building the hardware, but also the fault tolerant quantum applications that will provide industry-transforming results.

Quantum computing is not just an evolution of the decades-old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us.

There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!

Job Summary:

Join our OS/Platform team to build and operate a unified, high‑performance observability and data‑acquisition platform that supports both our on‑premises datacenters and growing AWS footprint. You will design and automate infrastructure with Terraform and Kubernetes, develop Python tooling to streamline workflows, and integrate metrics, logs, and traces so product teams can monitor services in real time, troubleshoot confidently, and ship software quickly and safely.

Responsibilities:

Architect document and implement a data acquisition and observability framework, supporting logs, metrics, and traces.
Develop high-throughput data pipelines for ingestion, transformation, and storage.
Build API services and integrations for system monitoring and device communication.
Optimize pipeline performance for low-latency, high-bandwidth environments.
Collaborate with calibration and infrastructure engineers on deployment and data engineers on schema and reporting needs.
Maintain monitoring, alerting, and visualization tools for system observability.
Ensure security, compliance, and scalability across cloud and on-prem environments.
Gather functional requirements from external stakeholders, refining them into technical requirements considering performance, scalability, and usability.
Troubleshoot complex problems and incidents, working with cross-functional teams and end-users to identify root causes.

Experience/Qualifications:

Bachelor’s Degree or higher in Computer Science, Engineering or other related technical field.
10+ years designing and operating infrastructure using Terraform (or similar) and Kubernetes.
Python development skills focused on automation and tooling.
Practical experience configuring and managing GitLab CI/CD.
Proven success deploying observability stacks (Grafana, Prometheus, Loki, Tempo) in production.
Working knowledge of core AWS services and networking fundamentals.
Experience with Kafka a plus.
Familiarity with regulated industry requirements and cross‑regional architectures.
Excellent communication, problem‑solving, and cross‑team collaboration skills; comfortable acting as a platform generalist.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.

U.S. Base Pay Range $190,000—$215,000 USDBay Area Pay Range $220,000—$245,000 USD","hiringOrganization":{"@type":"Organization","name":"PsiQuantum","sameAs":"https://www.psiquantum.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-16","description":"

Job Title: Staff Software Manager

Location: Bangalore

Impact & contribution: As a Staff Manager you are:

Empathetic and self-aware. You think and care deeply about how you might interact with your team, stakeholders and customers.
A Mentor, harboring a passion to nurture, grow and influence those around you to think differently and always maintain a growth mindset.
Innovative. You continually seek to improve the status quo for our customers. You inspire your team to do the same and remain resilient through change.
Promoting quality and delivering at pace through the maximization of automation is one of the key focus areas of the role.
Ownership, you take responsibility for the software design, engineering processes and quality standards of yours as well as your team members as you work in a collaborative environment.

Roles & responsibilities:

As a Staff Software Manager, you -

Lead the design, development, and maintenance of mobile applications and/or .NET-based solutions.
Collaborate with cross-functional teams to define technical requirements and specifications.
Provide technical leadership and mentorship to junior engineers, fostering a collaborative and growth-oriented environment.
Conduct code reviews and ensure adherence to coding standards, best practices, and architectural guidelines.
Stay updated on industry trends and emerging technologies to drive innovation within the team.
Troubleshoot and resolve complex technical issues in a timely manner.
Collaborate with product managers, UX/UI designers, and other stakeholders to deliver high-quality software products.
Contribute to the continuous improvement of development processes and methodologies.

Essential Skills:-

Minimum 11+ years of experience with expert level knowledge, working with the following languages
Have proven experience in developing and maintaining mobile applications (iOS/Android) and/or .NET solutions.
Strong proficiency in programming languages such as C#, and .NET technologies.
In-depth knowledge of mobile development and / or .Net frameworks, design patterns, and best practices.
Experience with database design, optimization, and integration.
Excellent problem-solving skills and the ability to navigate complex technical challenges.
Effective communication skills with the ability to articulate technical concepts to both technical and non- technical stakeholders.
Demonstrated leadership in driving projects from concept to delivery.
Familiarity with agile development methodologies.
A commitment to staying current with industry trends and continuously enhancing technical skills

Educational Qualification:

Bachelor’s degree or Master’s degree in engineering in Information Technology.

Advertising End Date: 30/07/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore - Manyata Tech Park Road, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Staff Software Engineer","datePosted":"2025-07-16","description":"

Job Title: Staff Software Manager (Data)

Location: Bangalore

Business & Team: Our Bankwest Technology division is at the heart of our digital product strategy and is responsible for the management and deployment of technology change across the organisation. Our tech teams work at pace, with autonomy and local decision making, to deploy world-class solutions in the pursuit of our business strategy.

Impact & contribution: As a Staff Manager you are:

Empathetic and self-aware. You think and care deeply about how you might interact with your team, stakeholders and customers.
A Mentor, harboring a passion to nurture, grow and influence those around you to think differently and always maintain a growth mindset.
Innovative. You continually seek to improve the status quo for our customers. You inspire your team to do the same and remain resilient through change.
Promoting quality and delivering at pace through the maximization of automation is one of the key focus areas of the role.
Ownership, you take responsibility for the software design, engineering processes and quality standards of yours as well as your team members as you work in a collaborative environment.

Roles & responsibilities:

As a Staff Software Manager, you -

Work with the team to understand our customers' core business objectives and deliver quality data centric solutions within committed timeframes
Contribute to thought leadership enabling analytics teams to deliver world class data centric solutions and analytics by championing sustainable and re-useable data assets
Design and build group data assets by integrating diverse data from internal and external sources.
Help to promote best in class coding standards and practices to ensure high quality and minimum risk.
Collaborating and communicating with business and delivery stakeholders and working without supervision.
Identify and escalate Technical Debt through simple processes to support effective planning and risk management.
Risk Mindset – All Bankwest employees are expected to proactively identify and understand, openly discuss and act on current and future risks.
Able to build solutions that are fit for purpose, perform well with large data volume and complex data transformation rules, and reliable to operate
Understanding of the development and release cycle following Change Management processes.
Creative problem solver, with open thinking to generate and support new or better ways of doing things.
Strong capability and experience with modern engineering practices and techniques
Experience with Agile working practices is beneficial
Prior experience working in Financial Services industry would be highly regarded, but not essential.

Essential Skills:-

Minimum 11+ years of experience with expert level knowledge, working with the following languages
Experience working with the following Tools:
Source Control systems such as Git
Build & Deployment tools such as Jenkins, TeamCity, Octopus Deploy
Database – SQL, PL/SQL , Hadoop
Strong experience in SAS / R / Python
Monitoring tools such as Splunk, AppDynamics
AWS Architecture and Certification (Required)
AWS (Amazon Web Services) Cloud (working experience with some of the core services EMR, EC2, S3, Auto-scaling, etc.) desirable.
Experience with large migration programs and automating things to scale up migrations from on-prem to cloud.
Hands on, Design and develop exceptionally reliable and scalable data pipelines and data platforms with comprehensive test coverage.
Deliver data engineering solutions aligned to core concepts of data design, preparation, transformation, and load.
Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud Lake houses to enable data predictions and models and reporting and visualization analysis via data integration tools and frameworks.

Educational Qualification:

Bachelor’s degree or Master’s degree in engineering in Information Technology.

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Staff Software Engineer, Search - Data Platform

AI / Machine Learning Engineer

AI & Machine Learning Consultant

AI / Machine Learning Engineer

AI/Machine Learning Intern

AI/Machine Learning Engineer

AI Machine Learning Intern

AI Machine Learning Intern

AI / Machine Learning Engineer

Senior or Staff Software Engineer, Data Platform

AI Machine Learning Engineer - Personalization

Senior AI & Machine Learning Engineer

Director of AI & Machine Learning

Sr Engineer, AI/Machine Learning

Engineer II, AI/Machine Learning

Research intern, AI Machine Learning

AI & Machine Learning Vice President

Generative AI & Machine Learning Engineer

Generative AI & Machine Learning Engineer

Research intern, AI Machine Learning

Sr Engineer II, AI/Machine Learning

Lead Cybersecurity Architect - AI & Machine Learning

AI & Machine Learning Consultant (m/w/d)

Engineering Leader – AI & Machine Learning Operations (AIOps)

Consultant Senior AI/Machine Learning H/F

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer