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Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About American Express Enterprise CI/CD

American Express has embarked on an exciting transformation driven by an energetic team of high performers. This group is nimble and creative with the power to shape our technology and product roadmap. If you have the talent and desire to deliver innovative products and services at a rapid pace join our transformation team. You will join a team of rock star engineers that will deliver the next generation of automation tooling and collaboration software. This automation tooling will support CI/CD within American Express across all platforms. You will work across a wide range of tools and use an even wider range or technologies to deliver world class solutions. The innovations you create will handle the gathering of analytic data across American Express and enable teams to measure end to end product delivery time and create self-service dashboards and reporting. You will create custom solutions using the latest open source technologies to serve our customers within American Express. We will wear many hats; we will work fast and smart and adapt and iterate quickly. Some of the things you will be doing are:

Taking your place as a core member of an agile team driving the latest development practices
Opportunity to work on solutions to enable Cloud Native Engineering
Writing code and unit tests, working with API specs and automation
Identifying opportunities for adopting new technologies

Minimum Qualifications:

Position requires a Bachelor’s degree in Computer Science, Engineering, or a related field followed by 4+ years of experience in a modern development stack (Java, Python, or Golang).

Experience in application design, software development, and testing, preferably in an Agile environment.
Hands-on experience with GitHub Enterprise Server and/or GitHub Enterprise Cloud.
Hands-on experience of writing GitHub actions.
Hands-on experience Infrastructure provisioning, configuration and decommission automation.
Hands-on experience on Linux and shell scripting.
Experience designing and developing REST APIs for high volume clients.
Experience with relational and NoSQL databases, including PostgreSQL, MongoDb, Couchbase, or Cassandra is a plus.
Experience with automated build and test frameworks a plus.
Experience with AI coding tools/platforms a plus (e.g. GitHub Copilot)
Aptitude for learning and applying new technologies and translate them into working software.
Experience with container and container orchestration technologies, such as Docker and Kubernetes, a plus.
Experience with collaboration tools (GitHub, JIRA, Confluence, etc.), a plus.
Strong analytical, problem-solving/quantitative skills
Willing to take risks, experiment, and share fresh perspectives
Ability to effectively communicate with internal and external teams

Minimum Qualifications

Salary Range: $103,750.00 to $174,750.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions

Job

Technologies

Primary Location

US-Arizona-Phoenix

Organization

A6726 - Cloud Engineering

Schedule

Full-timeJob Band 30Work Location Options Hybrid

Job Posting

Sep 18, 2025, 9:57:31 PM - Sep 26, 2025, 3:59:00 AM

Recruiter

Brian Kudia

Hiring Manager

Unmesh Prabhakar Kusurkar","hiringOrganization":{"@type":"Organization","name":"American Express","sameAs":"https://www.americanexpress.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-Arizona-Phoenix","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"AI/ML Engineer (IT-CA-OSI-2025-191-GRAE)","datePosted":"2025-09-19","description":"

Job Description

Your Responsibilities

We are seeking an AI/ML Engineer for Zenodo, the world's largest general-purpose research repository.

As a successful candidate you will design, develop, and deploy intelligent automation tools that enhance large-scale research repositories. Your role will involve building and optimising machine learning models for information extraction, classification, and validation, as well as integrating them into production-grade infrastructure. You will contribute to creating human-in-the-loop AI agents that support metadata generation, curation, and quality assurance, ensuring transparency, scalability, and efficiency. Finally you will collaborate with cross-functional teams on model evaluation, infrastructure deployment, and user-interface interface development, with a focus on solutions that advance open science and FAIR data practices.

Your Profile

Skills:

Machine learning expertise: experience with evaluating models for text extraction, classification, and information retrieval, as well as practical knowledge of using, integrating, and optimising open-source LLMs.
Software engineering: strong programming skills in Python and experience with open-source ML/AI agent frameworks.
Data processing & pipelines: ability to design scalable data pipelines and work with heterogeneous datasets.
Infrastructure & deployment: familiarity with containerised environments (Docker, Kubernetes/OpenShift) and deployment automation (Helm charts).
Communication and collaboration skills: ability to communicate clearly and work in multidisciplinary teams and contribute to open-source projects.
Spoken and written English, with a commitment to learn French.

Eligibility Criteria:

You are a national of a CERN Member or Associate Member State.
By the application deadline, you have a maximum of two years of professional experience since graduation in Software engineering and data science (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree.
You have never had a CERN fellow or graduate contract before.
Applicants without University degree are not eligible.
Applicants with a PhD are not eligible.

Additional Information

Job closing date: 10.10.2025 at 23:59 CEST.
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Target start date: 01-November-2025
Job reference: IT-CA-OSI-2025-191-GRAE
Field of work: Software Engineering and IT

What We Offer

A monthly stipend ranging between 5196 and 5716 Swiss Francs (net of tax).
Coverage by CERN's comprehensive health scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
Depending on your individual circumstances: installation grant; family, child and infant allowances; payment of travel expenses at the beginning and end of contract.
30 days of paid leave per year.
On-the-job and formal training at CERN as well as in-house language courses for English and/or French.

About Us

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.

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Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one of the following AI/ML techniques: Generative AI, Computer Vision, Natural Language Processing (NLP), information retrieval, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience in data analysis.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
Experience in computational geometry.
2 years of experience with data structures or algorithms.
Experience developing accessible technologies.

Experience in data analysis.Experience in computational geometry.

About The Job

The Geo org works to build a beautiful navigation map stitching together multiple data types: advanced road geometry, lane geometry, lane and road markings, intersections, lane restrictions, medians, buildings, etc. Our team is responsible for the data quality of road and lane data attributes and the construction of geometries used to render roads with richer lane details.

We're looking for an engineer with full stack expertise to advance the state of the art in mapmaking in Geo. This role requires the application of cutting-edge GenAI and ML solutions in combination with classical geometric algorithms to power Geo’s next-generation navigation experiences. You'll use your technical expertise in the applied ML and computational geometry domain to not only develop models but also apply them to build practical, scalable solutions worldwide.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
The US base salary range for this full-time position is $141,000-$202,000 + 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.
The US base salary range for this full-time position is $141,000-$202,000 + 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

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Software Engineer III, Computer Vision, Geo","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.\n\n
2 years of experience with software development in C++ and Python or 1 year of experience with an advanced degree.
1 year of experience with Computer Vision (e.g., image classification and processing, object detection, visual search), video generation, or signal processing.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred Qualifications:

Master's degree or PhD in Computer Science or a related technical field.
Experience in imaging/vision/perception, human computer interaction, augmented/virtual reality, video streaming, and real-time sensors.
Experience in 3D reconstruction and motion tracking.
Experience with cameras, image processing or Android development.

About The Job

The US base salary range for this full-time position is $141,000-$202,000 + 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

Write product or system development code.\n
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and deploy end-to-end perception systems for resource-constrained devices.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Software Engineer III, Network Verification","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture.

Preferred Qualifications:

Experience with coding in modern C++ and system level programming.
Experience in networking fundamentals (TCP/IP, Border Gateway Protocol (BGP), (Domain Name System (DNS), firewalls, etc.).
Experience with cloud networking concepts.
Experience building or working with distributed systems.

About The Job

Responsibilities

Design, code, test, and ship C++ for core network analysis engines.
Build new features for Connectivity Tests, Network Analyzer, and Effective Routes.
Manage problems in network modeling, configuration analysis, and distributed systems at scale.
Write code using C++ programming language.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Software Engineer, AI/ML, LLM Modeling","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
3 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.
3 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
3 years of experience with Large Language Models.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
5 years of experience with data structures or algorithms.
Experience developing accessible technologies.
Experience with reinforcement learning.
Experience in Deep Machine Learning, especially with Large Language Models.

About The Job

The team works on new ways to search, with a focus on LLM modeling. In this role, you will be building new ways to use LLMs in Search. You will develop new ways to do things and apply modeling techniques in the real world.

Our work revolves around training LLM models, reinforcement learning (RL), multi-step reasoning to various distillation techniques and contribute to different projects, over shorter timelines, our team is not tied to a specific user facing product. You will come up with new ideas, run experiments, new ways to do retrieval, tool calling, or generate fresh content and test them in user-facing products.
You will find new under-explored opportunities to apply LLMs, make them work in the real world, and collaborate with other teams.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Our work revolves around training LLM models, reinforcement learning (RL), multi-step reasoning to various distillation techniques and contribute to different projects, over shorter timelines, our team is not tied to a specific user facing product. You will come up with new ideas, run experiments, new ways to do retrieval, tool calling, or generate fresh content and test them in user-facing products.
You will find new under-explored opportunities to apply LLMs, make them work in the real world, and collaborate with other teams.

Responsibilities

Propose new modeling ideas and test them in the real world.
Collect training data, and evaluate its quality.
Design and build evaluations.
Deploy models to production, measure and optimize their latency.
Run evaluations, analyze results and suggest modeling improvements.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zürich, Switzerland","addressCountry":"Switzerland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Software Engineer III, Mobile (iOS), Extended Reality","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Swift or Objective-C, or 1 year of experience with an advanced degree.
2 years of experience with iOS application development.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience with Android application development.
Experience developing accessible technologies.

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.

As our new iOS Application Developer on the Extended Reality (XR) Experiences team, you'll build key experiences, primarily integrating audio and video calls into Google's XR projects for iOS. You'll need to be passionate about user-centric applications with experience in Three-Dimensional (3D) spatial presentation, hardware, camera, and sensor functionalities.For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
The US base salary range for this full-time position is $141,000-$202,000 + 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.
The US base salary range for this full-time position is $141,000-$202,000 + 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

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Software Engineer III, Embedded System, Silicon","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C/C++.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
Experience in ARM architecture, standard interfaces, bare-metal programming, bootloader, and firmware.
Experience in Linux kernel, device drivers, and Android system programming.
Experience with Git, Repository (Repo), and bug tracking tools.
Experience in software/hardware integration.
Experience in operating systems design and implementation.

About The Job

Responsibilities

Design and implement Linux drivers and firmware for mobile systems.
Design and implement tools for system bring-up, debugging, and performance/power evaluation.
Design and implement functional tests to validate the correctness and performance of separate components and systems in pre-and post-silicon environments.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Taipei, Banqiao District, New Taipei City, Taiwan","addressCountry":"Taiwan","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Software Engineer III, Full Stack, Payments","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.\n
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with data structures or algorithms in either an academic or industry setting.
2 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.\n\n
2 years of experience with performance, systems data analysis, visualization tools, or debugging.
Experience developing accessible technologies.
Experience in code and system health, diagnosis and resolution, and software test engineering.

About The Job

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Responsibilities

Write product or system development code.\n
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.\n

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Staff Software Engineer, AI/ML GenAI, Cloud Applied AI","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
2 years of experience with state of the art Generative AI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with Genwrative AI-related concepts (language modeling, computer vision).

Preferred Qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
6 years of experience in Applied Machine Learning, in teams directly responsible for business metrics on user-facing products.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a structured organization involving cross-functional or cross-business projects.
Experience in designing APIs for external customers.
Experience in modern full-stack application development, spanning frontend technologies (TypeScript, JavaScript, HTML/CSS, Angular, React) and backend services (e.g., Java, Kotlin).

Experience in designing APIs for external customers.Experience in designing APIs for external customers.Experience in designing APIs for external customers.Experience in designing APIs for external customers.

About The Job

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

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

Drive the end-to-end technical strategy, architecture, and execution for complex, ambiguous projects on our conversational AI platform. Define the technical roadmap for scalable, long-term solutions.
Act as the lead engineering partner for Product Management and UX. Go beyond just understanding requirements to actively define product strategy, refine ambiguous customer needs into concrete technical designs, and drive consensus across teams.
Manage and iterate on new platform capabilities to meet immediate customer needs. Balance this speed with long-term technical health, advocating best practices to ensure solutions are clean, maintainable, scalable, testable, and easy to refactor.
Leverage user empathy to guide product direction, respond thoughtfully to customer feedback, and build intuitive, powerful, and seamless experiences for the developers who rely on our platform.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Software Engineer III, User Voice AI/ML, gTech","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience with software development in C++, Python, or Java programming languages, or 1 year of experience with an advanced degree.
1 year 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.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience working with large-scale data processing and ML platforms.
Experience with quality analysis and improvement using tools (e.g., A/B testing, experiment frameworks).
Excellent communication skills, with the ability to collaborate across boundaries.

About The Job

In this role, you will be a member of the User Voice AI/ML team, and be responsible for on-boarding the Feedback, ML infrastructure and maintaining and enhancing it in a multi-year road-map to build the next generation of suite of user feedback products. The User feedback is a Google Primitive and several Google teams rely on Feedback suite of products to collect, annotate and analyse user feedback within their product. You will collaborate and build the model serving, reduce the time to train/deploy models and critical applications and infrastructure to support our ML platform.

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).

The US base salary range for this full-time position is $141,000-$202,000 + 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.The US base salary range for this full-time position is $141,000-$202,000 + 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

Design, develop, test, deploy and maintain software systems for user feedback model serving.
Prototype and build features and solutions in a changing environment.
Collaborate with Engineers, Product Managers, and User Experience to complete tasks with less guidance from executives, and influence product requirements.
Manage individual and project priorities, deadlines and deliverables.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

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Minimum Qualifications:

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
2 years of experience with software development in one or more programming languages.

Preferred Qualifications:

Master's degree in Computer Science or Engineering.
2 years of experience designing, analyzing, and troubleshooting large-scale distributed systems.

About The Job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.
SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.\n

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

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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

Write product or system development code.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. \n
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n

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Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience developing accessible technologies.

About The Job

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

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Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
Experience with high-load servers, optimizing capacity, latencies and scaling bottlenecks and a willingness to dive deep, spot pain points and innovate within.
Experience in code and system health, diagnosis and resolution, and software test engineering.
Experience with Java/Kotlin.
Excellent communication skills, and the ability to collaborate with a range of people and job functions.

About The Job

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

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

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Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.\n\n
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Experience with core Generative AI concepts (LLM, Multi-Modal, Large Vision Models) and with text, image, video, or audio generation.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.\n\n
2 years of experience with data structures or algorithms in either an academic or industry setting.
2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
Experience developing accessible technologies.
Experience in code and system health, diagnosis and resolution, and software test engineering.

About The Job

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

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

Responsibilities

Write product or system development code.\n
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Software Engineer III, Mobile (Android), YouTube Shopping","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Java or Kotlin, or 1 year of experience with an advanced degree.
2 years of experience Android application development.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.
2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience developing accessible technologies.
Experience in code and system health, diagnosis and resolution, and software test engineering.

About The Job

In this role, you will work on YouTube's shopping platform where people globally discover and research products across categories like beauty, fashion, and electronics. You will develop systems that enable Creators to feature shopping goods, allow viewers to learn about products, and help merchants engage with customers.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

Write product or system development code.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Chase Travel, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products that are secure, stable, and scalable. Your responsibilities include implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

Job Responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands on experience in programming, analytical & logical skills of C# & .net core.
Hands on experience in the background tasks with hosted services. Experience in developing secure, high performance, highly available and complex API's.
Experience in AWS services like S3, SNS, SQS, Lambda, DynamoDB.
Experience in Micro-services architecture.
Ability to multitask and manage multiple priorities and commitments concurrently.
Proficient with at least one Relational Databases like MySQL, or Oracle DB, or DB2, or SQL Server, etc.
Excellent understanding of OOP’s concepts.
Positive attitude and desire to help others in resolving problems and issues.
Experience in working with Version Control management GIT.
Knowledge of modern development technologies and tools such as CI/CD, Jenkins etc.

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Executes standard software solutions, design, development, and technical troubleshooting
Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands on experience in programming, analytical & logical skills of C# & .net core.
Hands on experience in Angular and latest version
Hands on experience in the background tasks with hosted services.
Experience in developing secure, high performance, highly available and complex API's.
Experience in AWS services like S3, SNS, SQS, Lambda, DynamoDB.
Experience in Micro-services architecture.
Proficient with at least one Relational Databases like MySQL, or Oracle DB, or DB2, or SQL Server, etc.
Good understanding of DB Design and Design Patterns” for building elegant and extensible systems.
Excellent understanding of OOP’s concepts.

Preferred qualifications, capabilities, and skills

Experience in NoSQL, Elasticsearch, Cassandra
Message Broker communication between Microservice Kafka, SNS...etc

Company

team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.5 million SMB customers with everything they need to succeed online by offering best-in-class expertise and services.

team.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.

Position:

We are looking for a highly skilled AI/ML Platform Lead to technically lead our AI & ML Platform Operations team. The ideal candidate will lead the development and maintenance of our enterprise AI & ML platform to serve AI & ML workloads across the group

Key Responsibilities:

Platform Development

Architect and implement infrastructure platforms tailored for AI/ML workloads, with a focus on scaling private cloud environments to support high-throughput training, inference, and Agentic workflows and pipelines.
Build the Core GenAI application platform powering generative AI use cases across all of the team.blue group
Design and develop scalable services and tools to support GPU-accelerated AI pipelines, leveraging Kubernetes, Python/Go, and observability frameworks.
Build and drive adoption of emerging AI/LLMOPs technologies , integrating AI Agents, RAGs, and LLMs using MCP workflows to streamline automation, performance tuning, and large-scale data insights.
Drive cross-functional adoption of AI tooling by delivering reusable components and intuitive interfaces, increasing developer productivity through automation, metrics dashboards, and streamlined GenAI integrations.

Platform Strategy

Set the technical roadmap for platform capabilities, balancing innovation with reliability and compliance.
Ensure the platform adheres to emerging standards of security, fairness, and explainability for LLM systems

Technical Leadership & Mentorship

Mentor and collaborate with a multidisciplinary team of network engineers, automation engineers, AI and ML scientists, product managers, and multiple domain experts.
Provide technical leadership in operationalizing LLMs in production, including latency management and prompt versioning

Solution Development Support

Support initiatives in Generative AI systems design , including Retrieval-Augmented Generation (RAG), LLM fine-tuning, semantic search, and multi-modal data processing.
Build and optimize ML platform systems for document understanding, vector-based retrieval, and knowledge graph integration

Ideal Profile:

6+ years of hands-on experience building AI & ML platforms and infrastructure, using DevOps, infrastructure tools like Kubernetes, Docker, and Terraform
Deep understanding of current AIOps & MLOps practices, deploying and monitoring real-time inference models and ETL pipelines
Experience with LLM toolchains such as LangChain, LlamaIndex, or OpenAI APIs
Deep understanding of model inference optimization (e.g., quantization, ONNX, streaming)
Knowledge of RAG systems, vector databases (e.g., Qdrant, Pinecone), LLM inference engines (eg. vLLM, Tensor-LLM, Ollama)
Experience operationalizing LLMs in production, including latency management and prompt versioning (eg. Llama, BERT, Whisper, etc)
Proficiency in backend development with Python (leveraging frameworks like FastAPI), microservices architecture and event-driven architecture(eg. KafKa, SSE, WebSocket)
Strong problem-solving skills with excellent communication and documentation skills
Ability to work collaboratively with cross-functional teams

Right To Work

At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas.

Esg

“At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.”

\"Come as you are\"

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

","hiringOrganization":{"@type":"Organization","name":"team.blue","sameAs":"https://team.blue/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gent, Belgium","addressCountry":"Belgium","addressRegion":"Europe"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Software Engineer III Java react","datePosted":"2025-09-19","description":"

Push the limits of what’s possible with us as an experienced member of our Software Engineering team.

As an Experienced Software Engineer at JPMorgan Chase within the Global Technology team, you will be a key member of an agile team, responsible for designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Depending on the team you join, your role may involve developing mobile features to enhance customer and client banking experiences, strategizing on leveraging big data to accelerate our trading systems, innovating payment solutions for merchants, or supporting the integration of our private and public cloud platforms.

Job Responsibilities

Participates in, design and develop scalable and resilient systems using Java or Python to contribute to continual, iterative improvements for product teams
Executes software solutions, design, development, and technical troubleshooting
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on practical experience in system design, application development, testing and operational stability
Proficient in Java, spring framework, microservices architecture, Kafka, AWS cloud, Rest APIs, Memory optimization, React UI or any UI language
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm's business objectives.

Job Responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications - we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field.

Now, as we expand rapidly, we're channelling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.

As our Senior AI/ Machine Learning Engineer, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry.

\n\n

Career Level - IC3

Responsibilities:

AI Product Development: Partner with product managers to translate business and healthcare requirements into actionable AI projects.
Technical Leadership: Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule.
Cross-Functional Collaboration: Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development.
Project Delivery: Drive projects from concept to production, participating in planning, review, and retrospective meetings.
System Architecture and Infrastructure: Design and build scalable systems to support data processing, training, and deployment of generative AI models, while efficiently managing compute resources.
Deployment and Monitoring: Automate deployment of generative models to production and set up monitoring to track their performance, reliability, and operational health.
API and Service Engineering: Develop performant, secure APIs and services that enable seamless integration and scalable access to generative AI model capabilities.
Development Workflow and Tooling: Create tools and workflows that ensure experiment reproducibility, dataset management, and smooth collaboration throughout the model lifecycle.
Software Engineering Best Practices: Apply software engineering standards - such as modular code, testing, and documentation - to ensure maintainability and stability of ML systems.
Hands-on Programming and Code Review: Perform day to day programming task, deliver production quality codes, do PR reviews and set bars for PR review process, advocating for maintainability and robustness.
Mentorship: Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence.

Qualifications And Experience:

3-5 or 5+ years of experience working as a machine learning engineer delivering products in real world applications.
Demonstrated experience in designing and implementing scalable ML solutions, frameworks and pipelines for production.
Demonstrated experience in architecture design, deployment/monitoring, API and service engineering, workflow and tooling development.
Demonstrated experience in leveraging LLMs (such as code assist) to accelerate the above development activities.
Good technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.
Proven experience in coaching teams on engineering practices and PR reviews.
Commitment to staying up to date with the field and applying latest technologies to solve complex business problems and bringing them into production.

Preferred Qualifications:

Knowledge of healthcare and experience delivering healthcare AI products are a significant plus.
Having referrable products delivered before is a significant plus.

Education:

Phd or Masters in computer science or related field with 3-5 or 5+ years relevant experience

Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference!

#Li-Dni

Career Level - IC3

\n\n\n

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

\n\n

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

","hiringOrganization":{"@type":"Organization","name":"Oracle","sameAs":"https://www.oracle.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Software Engineer III - Python, Databricks, AWS","datePosted":"2025-09-19","description":"

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Enterprise Technology you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Build and optimize data pipelines using Spark and related technologies
Design, develop, and maintain machine learning models in production
Collaborate with modelers and business stakeholders to deliver solutions
Apply expertise in software development lifecycle and technical documentation
Incorporate advancements in GenAI and LLM technologies into engineering practices
Contribute to team knowledge base and foster an innovative culture
Deliver high-quality results within tight deadlines

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands-on experience with machine learning frameworks and big data technologies such as Hadoop
Proficient in programming languages such as Java or Python
Experience with Python machine learning libraries and ecosystem (e.g., Pandas, Numpy)
Experience with cloud technologies such as AWS or Azure
Experience working with databases such as Cassandra, MongoDB, or Teradata
Solid understanding of agile methodologies and collaborative development environments

Preferred qualifications, capabilities, and skills

Familiarity with Generative AI and Large Language Models, and experience integrating these technologies into data workflows
Experience with build tools like Maven and source control systems such as Git or SVN
Experience in performance tuning and code optimization

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 3+ years applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in Java applications using spring boot, micro services, AWS, terraforms
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

Company Description

McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive Thrus, through McDelivery, dine-in or takeaway.

McDonald’s Global Technology is here to power tomorrow’s feel-good moments.

That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant. We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced. 

We’re recruiting engineers to join our Global Technology team in Mexico City as we open our McDonald's in Mexico office. Our Mexico City office will be a hub for technology innovation and operational support to help us build the solutions that will improve our customer, crew and employee experience each and every day

Check out the McDonald’s  Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.

Job Description

The Commercial Product & Platform vision develops global technology products and platforms that delight our customers and enable our crews to operate our restaurants reliably and effectively.

Software Engineer III reports to the Sr Engineering Manager, Chapter Lead. In this role, you will partner with our Product Management and Architecture teams to coordinate execution of the forward-looking vision of McDonald’s Digital Technologies and the high-value transformation initiatives that will fuel our journey.

That said, the biggest area of increase in our spending has been in technology, which is helping to drive our growth. We’re looking at how to use technology to improve the customer experience; build new customer experiences; reduce or eliminate repetitive task areas and make employees’ jobs more exciting. With all the new projects and initiatives, it is an exciting time to be on the team that is helping to make a Better McDonald's!

Responsibilities:

Contribute to all aspects of the agile development life cycle including design, development, documentation, testing and operations.
As a software engineer, you will play a pivotal role in crafting the definition, vision, design, road map and development of product features from beginning to end.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, adaptability, cost, and security.
Use software engineering best practices to ensure a high standard of quality for all teams work.
Work in an agile, startup-like development environment, where you are always working on the most meaningful priorities.
Provide mentorship and guidance to junior engineers

Qualifications

5+ years of non-internship professional software development experience with programming experience in C#
2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
Bachelor’s Degree in Computer Science or related field or equivalent years of experience.
Proven knowledge of Computer Science fundamentals (object-oriented design, data structures and algorithm.
Strong verbal and written communication skills, are hard-working and deliver high quality results in a fast-paced environment.
Proven leadership abilities in an engineering environment in driving operational precision and best practices.
Highly quantitative with great judgment and passion for building a great customer experience.
Ability to take a project from scoping requirements to launch to delivery
English proficiency required

#Li-Hybrid

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Job Description:

Here at Rakuten Kobo Inc. we offer a casual working start-up environment and a group of friendly and talented individuals. Our employees rank us highly in terms of commitment to work/life balance. We realize that for our people to be innovative, creative and passionate they need to feel valued and supported.

If you’re looking for a company that inspires passion, personal, and professional growth – join Kobo and come help us on our mission of making reading lives better.

The Role:

Rakuten Kobo is seeking a highly skilled .NET Software Engineer III for a critical 12 month contract role within our Application Platform Team. You will play a pivotal role in our strategic initiative to migrate our last remaining monolith to a modern microservices architecture.

This role is divided into two key phases over the 12-month term:

Phase 1 (First 6 Months): Platform Foundation & Migration. You will be instrumental in untangling complex dependencies, factoring out core platform code, and standing up the foundational elements of our new microservices platform. This will involve extensively upgrading our existing .NET Framework codebase to modern .NET 8, addressing incompatibilities, and managing package upgrade paths.

Phase 2 (Next 6 Months): Product Team Enablement & Refinement. As the platform matures, you will actively support and advise Kobo’s product teams. This includes coding alongside them, providing hands-on guidance, and helping them decompose and migrate their domain code onto the new application platform. You will also continue to refine and enhance the platform itself based on evolving needs.

The Platform Engineering team operates with a \"you build it, you run it\" philosophy. You'll contribute to technical designs, help test your teammates' code, monitor your applications, and assist in resolving production issues. It’s a highly collaborative, energetic, and high-functioning team where self-starters thrive, operating independently while also actively engaging with peers to solve problems, share updates, and bounce ideas. You’ll be well supported throughout this challenging and rewarding project.

The Skillset:

We are looking for a Senior .NET Engineer with proven experience in large-scale modernization efforts.

Must-Have Experience:

Extensive experience migrating from monoliths to microservices, specifically involving the decomposition of large applications.
Deep and proven knowledge of C# .NET, with extensive experience migrating and upgrading large codebases from .NET Framework to modern .NET (up to .NET 8). This includes managing incompatibilities and complex package upgrade paths.
Strong understanding and practical application of Domain Driven Design (DDD) principles in architectural and refactoring efforts.

Highly Valued Skills & Experience:

Ability to communicate complex technical concepts effectively to both technical and cross-functional audiences.
Experience with distributed systems (e.g., message queuing, RESTful services, eventual consistency).
Experience working in both mono-repo and multi-repo environments.
Proficiency in refactoring techniques and applying design patterns.
Ability to troubleshoot and resolve complex production issues efficiently.
Experience managing containerized applications in a Kubernetes environment.
Strong commitment to quality through comprehensive unit testing.
Experience working effectively within cross-functional teams, providing guidance and collaborative support.
About Rakuten Kobo Inc.

Owned by Tokyo-based Rakuten and headquartered in Toronto, Rakuten Kobo Inc. is one of the most advanced global ecommerce companies, with the world’s most innovative eReading services offering more than 6 million eBooks and audiobooks to 30 million + customers in 190 countries. Kobo delivers the best digital reading experience through creative innovation, award-winning eReaders, and top-ranking mobile apps. Kobo is a part of the Rakuten group of companies.

Rakuten Kobo Inc. is an equal opportunity employer. Accessibility accommodations for candidates with disabilities participating in the selection process are available on request. Any information received related to accommodation needs of applicants will be addressed confidentially.

Rakuten Kobo would like to thank all applicants for their interest in this role however only qualified candidates will be shortlisted.

Beware of fraudulent job offers claiming to be from Rakuten. Rakuten does not send unsolicited job offers or request money during the recruitment process. Learn more: https://rakutenemploymentalert.com/

#Rkind

","hiringOrganization":{"@type":"Organization","name":"Rakuten Kobo Inc.","sameAs":"https://www.kobo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"ON-John Street, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Software Engineer III","datePosted":"2025-09-19","description":"

Position Summary...

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What You'Ll Do...

About Team:

Sam’s club is a membership-based retail warehouse club owned and operated by Walmart. With more than 600 physical clubs across different geographic region in US, Sam’s Club chain serves more than 50 million US members and is rated among the top retailers in US.

What you will do
As a Software Engineer III for Walmart, you’ll have the opportunity to:
• Develop intuitive software that meets and exceeds the needs of the customer and the company.
• You also get to collaborate with team members to develop best practices and requirements for the software.
• In this role it would be important for you to professionally maintain all codes and create updates regularly to address the customer’s and company’s concerns.
• You will show your skills in analyzing and testing programs/products before formal launch to ensure flawless performance.
• Troubleshooting coding problems quickly and efficiently will offer you a chance to grow your skills in a high-pace, high-impact environment.
• Software security is of prime importance and by developing programs that monitor sharing of private information, you will be able to add tremendous credibility to your work.
• You will also be required to seek ways to improve the software and its effectiveness.
• Adhere to Company policies, procedures, mission, values, and standards of ethics and integrity.
What you will bring
• B.E./B. Tech/MS/MCA in Computer Science or related technical field.
• Minimum 2 years of object-oriented programming experience in Java.
• Excellent computer systems fundamentals, DS/Algorithms and problem-solving skills.
• Hands-on experience in building web based Java EE services/applications and Kafka, Apache Camel, RESTful Web-Services, Spring, Hibernate, Splunk, Caching.
• Excellent organisation, communication and interpersonal skills.
• Large scale distributed services experience, including scalability and fault tolerance.
• Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS
• Exposure to build, CI/CD & deployment pipelines and related technologies like Kubernetes,
Docker, Jenkins etc.
• A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
• Experience in systems design and distributed systems.
• Exposure to SQL/NoSQL data stores like Cassandra, Elastic, Mongo etc.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is \"everyone included.\" By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area.
Option 2: 4 years’ experience in software engineering or related area.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN KA BANGALORE Home Office Building 10, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Software Engineer III - Quartz Team","datePosted":"2025-09-19","description":"

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Position Summary

Member of Global Markets DTG Technology team, serve as technical lead over Infrastructure projects for Global Markets applications under FICC, Currencies, Commodities, PBMRT, Equities, and Munis.

Quartz has been the primary platform for pricing trades, managing positions, and computing risk exposure. Majority of the Global Markets applications runs on Quartz platform. Technical lead should be well versed with Quartz architecture, core components as well as legacy infrastructure.

Responsibilities:

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
Automates manual release activities
Designs, develops, and maintains automated test suites (integration, regression, performance)
Conduct comprehensive capacity reviews across all infrastructure components, including servers, applications, databases, grids, and networks
Identify optimization opportunities in power and space constrained datacenters, with a focus on capex and total cost of ownership(TCOA)
Maintain a holistic understanding of all infrastructure components with a keen eye for identifying consolidation opportunities
Serve as a subject matter expert for one or more Quartz core components, providing trusted guidance and recommendations to the technology teams

Required Qualifications

Strong interest in or knowledge of infrastructure technology e.g. servers, storage; networks, grid, High Availability.

Strong general consulting/project skills (ability to help clients define requirements, write statement of work, marshal resources, project management, scope control, risk management). Advise the application teams on creating business objectives, and technical requirements.

Experience of working with cross-functional and global teams with dynamic business requirements. Knowledge of Bank of America processes, and procedures. Ability to follow, improve upon and create processes required for effective IT infrastructure Management. Exposure to Market Data, Messaging servers, and Schedulers.

Desired Qualifications

Exposure to monitoring tools such as Grafana, Prometheus, Dynatrace, Splunk and Kibana. knowledge of networking (firewalls, DNS, Load Balancing, Proxies, etc.) Exposure to IAM infrastructure, Active Directory, and SSO solutions. Understanding of applications integrated into DMZ.

Skills:

Application Development
Automation
Influence
Solution Design
Technical Strategy Development
Architecture
Business Acumen
DevOps Practices
Result Orientation
Solution Delivery Process
Analytical Thinking
Collaboration
Data Management
Risk Management
Test Engineering

Minimum Education Requirements -Bachelor Degree or Equivalent Professional Experience

Shift:

1st shift (United States of America)

Hours Per Week:

40","hiringOrganization":{"@type":"Organization","name":"Bank of America","sameAs":"https://www.bankofamerica.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Software Engineer III","datePosted":"2025-09-19","description":"

Software Engineer Iii

Inclusive and Accessible Opportunity at LexisNexis Risk Solutions

Join our team as a Senior Software Engineer I and help us build innovative technology solutions that make a positive impact. We are committed to creating an inclusive, accessible, and supportive workplace for people of all backgrounds and abilities.

If you are passionate about technology, collaboration, and learning, we encourage you to apply—even if your experience doesn't perfectly match every qualification listed below.

About The Business

LexisNexis Risk Solutions supports organizations around the world with advanced risk assessment tools. Our insurance division provides technology and analytics that help clients make better decisions throughout the insurance policy lifecycle. We are dedicated to improving efficiency, reducing risk, and fostering a diverse, equitable, and inclusive environment where everyone can thrive. Learn more about our Insurance Risk Solutions on our website https://risk.lexisnexis.com/insurance.

About Our Team

We are a globally distributed, collaborative team focused on building a leading platform to address identity fraud. We value diverse perspectives, experiences, and strengths, and we welcome applicants from all backgrounds, identities, and abilities. Our team is committed to maintaining a respectful, accessible, and supportive workplace where everyone has the opportunity to learn and grow professionally.

About The Role

As a Software Engineer III, you will play a key role in building and maintaining robust, scalable, and secure web applications. You will work in a dynamic and fast-paced environment, collaborating with cross-functional teams to design and develop both frontend and backend solutions. Your primary responsibilities will span across building and optimizing RESTful services, developing modern web applications using React JS, and leveraging cloud services to deliver exceptional user experiences.

Responsibilities

Design, develop, and maintain full-stack web applications using React JS for the frontend and .NET for the backend.
Build and maintain RESTful APIs to support web and desktop application.
Strong understanding of component-based architecture using React JS, enhancing code quality with TypeScript, closures and asynchronous programming using JavaScript, and building scalable, server-side applications using .net.
Hands-on professional experience with modern CSS techniques and frameworks.
Experience with performance testing browser-based applications and working in an Agile/Scrum development environment.
Participates in on-call rotations with their team as necessary, design reviews and ensure best practices are followed in both frontend and backend development.
Ensure code quality, performance optimization, and security best practices in both frontend and backend codebases.
Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.

Requirements

Experience in software development, with a strong focus on front-end development.
Proficiency in .net and React JS.
Extensive experience with RESTful services and API design.
Understanding of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
Proven experience in release management and the software development lifecycle.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Experience with CI/CD pipelines and automated testing.

Good To Have

Knowledge of containerization technologies (e.g., Docker, Kubernetes).
Familiarity with Agile development methodologies.

Our Commitment to Diversity, Equity, and Inclusion

We are dedicated to building a team that reflects a wide variety of backgrounds, identities, and abilities. LexisNexis Risk Solutions is an equal opportunity employer. We provide reasonable accommodations during the application and interview process for candidates with disabilities or other needs. We are committed to making our workplace accessible and welcoming to all.

Learn more about the LexisNexis Risk team and how we work

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Usa Job Seekers:

EEO Know Your Rights.

","hiringOrganization":{"@type":"Organization","name":"LexisNexis Risk Solutions","sameAs":"https://risk.lexisnexis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India-Chennai (Ascendas Tech park)","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Software Engineer III","datePosted":"2025-09-19","description":"

Position Summary...

What You'Ll Do...

About Team:

What you will do
As a Software Engineer III for Walmart, you’ll have the opportunity to:
• Develop intuitive software that meets and exceeds the needs of the customer and the company.
• You also get to collaborate with team members to develop best practices and requirements for the software.
• In this role it would be important for you to professionally maintain all codes and create updates regularly to address the customer’s and company’s concerns.
• You will show your skills in analyzing and testing programs/products before formal launch to ensure flawless performance.
• Troubleshooting coding problems quickly and efficiently will offer you a chance to grow your skills in a high-pace, high-impact environment.
• Software security is of prime importance and by developing programs that monitor sharing of private information, you will be able to add tremendous credibility to your work.
• You will also be required to seek ways to improve the software and its effectiveness.
• Adhere to Company policies, procedures, mission, values, and standards of ethics and integrity.
What you will bring
• B.E./B. Tech/MS/MCA in Computer Science or related technical field.
• Minimum 2 years of object-oriented programming experience in Java.
• Excellent computer systems fundamentals, DS/Algorithms and problem-solving skills.
• Hands-on experience in building web based Java EE services/applications and Kafka, Apache Camel, RESTful Web-Services, Spring, Hibernate, Splunk, Caching.
• Excellent organisation, communication and interpersonal skills.
• Large scale distributed services experience, including scalability and fault tolerance.
• Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS
• Exposure to build, CI/CD & deployment pipelines and related technologies like Kubernetes,
Docker, Jenkins etc.
• A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
• Experience in systems design and distributed systems.
• Exposure to SQL/NoSQL data stores like Cassandra, Elastic, Mongo etc.

Benefits

Belonging

Equal Opportunity Employer

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN KA BANGALORE Home Office Building 10, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Replacement Data Analytics AI/ML","datePosted":"2025-09-19","description":"

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Replacement Data Analytics AI/ML

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
8+ years of experience in data science, preferably in the payments or fintech industry.
Proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
Strong understanding of payment systems, transaction flows, and fraud detection techniques.
Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP, Azure).
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Thank you for considering employment with Fiserv. Please:

Apply using your legal name
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

Note To Agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning About Fake Job Posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line Of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$108,800 - $163,200 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We are seeking an experienced and business-savvy Analytics Engagement Lead to join our People Analytics team within AI2. This role sits at the intersection of data science, AI and Human Resources- and is critical to shaping how we use advanced analytics to drive business outcomes and improve employee experience.

In this high-impact role, you will partner directly with senior HR and business stakeholders to identify key opportunities where analytics can accelerate decision-making, unlock talent potential, and drive measurable business results. You'll act as both a strategic advisor and analytics translator, helping stakeholders turn complex challenges into data-driven solutions powered by predictive analytics, AI and machine learning.

You will collaborate closely with senior HR and business leaders to identify key workforce challenges, translate them into data-driven initiatives, and deliver actionable insights that balance business growth, regulatory compliance, and employee well-being.

Key Accountabilities

Provide expert knowledge in AI/ML, deep technical leadership and expertise to support and define future direction in one or more specialized AI/ML areas or lead strategic development efforts on new or emerging AI/ML related projects.
Work closely with business owners as a trusted advisor to senior HR, risk, operations, and business leaders to identify opportunities and serve as an ambassador for AI/ML
Play a lead role on cross functional teams of data and machine learning scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions.
Design and deliver analytics and AI insights into key HR programs (e.g., succession planning, DEI, attrition risk, skills forecasting).
Develop powerful business insights from a broad range of data using advanced machine learning techniques to identify opportunities where people analytics can address business risks, improve efficiency, and drive workforce transformation.
Translate business problems into people analytics projects and work by drawing on personal domain knowledge to help business leaders identify and prioritize their highest value business problems. Build strong relationships with partners to understand key stakeholder business problems, develop hypotheses for testing and interpret analytics with confidence
Collaborate with data scientists to design solutions using predictive analytics, generative AI, NLP, and scenario modeling.
Support responsible AI governance and compliance, ensuring alignment with internal risk and data privacy policies.
Lead complex, cross-functional analytics initiatives from discovery to delivery, including change management and stakeholder adoption.
Measure impact and drive continuous improvement using workforce KPIs.
Synthesize technical findings into compelling stories tailored to executive audiences.
Enable stakeholder self-service through dashboards and repeatable insight assets.
Work with implementation experts to devise business-applicable plans to ensure that sophisticated analytics translate into impact at scale in an organization
Ensure that what the data scientists are building is relevant to the business and its needs by bridging the technical expertise of data engineers and data scientists with the operational expertise of business leaders, managers and HR business partners

Experience & Education

Undergraduate degree or technical certificate with advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
10+ years of experience in analytics, strategy, consulting, or HR business partnership, with a track record of success in matrixed environments—preferably in financial services.
Demonstrated experience leading people analytics or workforce strategy projects with measurable business impact.
Strong knowledge of advanced analytics techniques (e.g., attrition modeling, segmentation, AI/ML applications in HR).
Proficiency in tools such as Python, R, SQL, Tableau/Power and cloud data environments (e.g., Workday, Databricks) is an asset.
Excellent communication, facilitation, and influence skills—comfortable advising SVPs and C-level stakeholders.
Understanding of regulatory, data governance, and privacy considerations in a highly regulated industry.
Solid understanding of business requirements and vernacular; know the language of business
Listening skills patience and ability to absorb information from business executives and data scientists and have the knowledge and skill to probe effectively to diagnose the real problem and the helpful insights
Communication skills especially translating between analytical scientists and business leaders
Storytelling With Stakeholders
Desire to ask questions and get a deeper understanding of issues; confidence to challenge perceptions and biases of individuals at every level of the organization
Ability to manage multiple stakeholders at any time, including business leaders, HR business partners and other functional leaders in the pursuit of assessing the most important people analytics opportunities
Analytics knowledge or desire to acquire it to be effectively communicating with data scientists
An in depth understanding of the specific industry of the company and organizational challenges to effectively identify the value analytics in the business context

Why Join Us

Work at the forefront of people analytics innovation, AI deployment, and ethical workforce data us
Be part of a high-impact team that supports resilience, equity, and long-term business performance through insight.
Competitive compensation, performance-based incentives, and opportunities for advancement in a top-tier financial institution.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.
Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec Only):

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Associate AI/ML Scientist – Global Data Analytics, Technology (Maersk)

This position will be based in India – Bangalore/Pune

A.P. Moller - Maersk

A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.

Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.

The Brief

In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings.

You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems.

The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement.

You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs.

What I'll be doing – your accountabilities?

Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights
Develop predictive models and validate their effectiveness
Support the design of experiments to validate and compare multiple machine learning approaches
Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability
Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks
Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and computer vision frameworks
Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects
Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards
Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration
Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance

Foundational Skills

Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios
AI & Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance.

Specialized Skills

To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance:
To understand fundamentals and can demonstrate this skill in common scenarios with guidance:
Data Validation and Testing
Model Deployment
Machine Learning Pipelines
Deep Learning
Natural Language Processing (NPL)
Optimization & Scientific Computing
Decision Modelling and Risk Analysis.
Technical Documentation.

Qualifications & Requirements

Bachelor's degree in B.E/BTech, preferably in computer science
Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions)
Communicate effectively with technical and non-technical audiences with experience in stakeholder management
Structured, highly analytical mind-set and excellent problem-solving skills;
Self-starter, highly motivated & Willing to share knowledge and work as a team.
An individual who respects the opinion of others; yet can drive a decision though the team;

Preferred Experiences

5+ years of years of relevant experience in the field of Data Engineering
3+ years of hands-on experience with Apache Spark, Python and SQL
Experience working with large datasets and big data technologies to train and evaluate machine learning models.
Experience with containerization: Kubernetes & Docker
Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C
Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc

As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

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Job Description:

Details of the role and how it fits into the team

Indra is Deutsche Bank’s flagship programme for safely scaling artificial intelligence. As part of this programme, you will collaborate with cross‑functional teams to build shared AI services used across the bank. Your work sits at the intersection of technology, business and control functions, enabling thousands of developers to deliver innovative AI solutions quickly and responsibly while maintaining the highest standards of governance.

Your Key Responsibilities

You own the vision, strategy and roadmap for scalable AI shared services across Deutsche Bank
You partner with data scientists, engineers and business stakeholders to translate AI opportunities into user‑centred products that deliver measurable value
You run lean experiments and proof‑of‑concepts, applying customer‑centric evaluation methods to validate ideas rapidly and iterate
You manage the backlog, prioritisation and delivery in an agile environment, balancing new features, technical debt and risk/compliance needs
You define and track success metrics, using data and feedback to continuously optimise performance, cost and reliability
You champion responsible AI practices and ensure every service meets the Bank’s regulatory and control requirements

Your skills and experiences

Several years of product management experience, including leading Generative AI and machine‑learning products in financial services or other regulated environments
Strong technical understanding of AI and machine learning principles, encompassing model development, deployment, governance considerations, and the intricacies of generative AI
Proven ability to apply customer‑centric discovery and design techniques to identify unmet needs and shape solutions
Track record of influencing diverse stakeholder groups and landing consensus across business, technology and risk functions
Hands‑on experience with agile delivery: writing user stories, managing backlogs, prioritising for impact
Business‑fluency in German and English (both written and spoken)

What We Offer

We provide you with a comprehensive portfolio of benefits and offerings to support both, your private and professional needs.

Physically thrivingWe support you in staying physically fit through an offering to maintain personal health and a professional environment. You can benefit from health check-ups; vaccination drives as well as advice on healthy living and nutrition.
Socially connectedNetworking opens up new perspectives, helps us thrive professionally and personally as well as strengthens our self-confidence and well-being. You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as an extensive culture of diversity, equity and inclusion.
Financially secureWe provide you with financial security not only during your active career but also for the future. You can benefit from offerings such as pension plans, banking services, company bicycle or “Deutschlandticket”.
Emotionally and mentally balanced
A positive mind helps us master the challenges of everyday life – both professionally and privately. We offer consultation in difficult life situations as well as mental health awareness trainings.

Since our offerings slightly vary across locations, please contact your recruiter with specific questions.

This job is available in full and parttime.

In case of any recruitment related questions, please get in touch with Kilian Weber.

Contact Kilian Weber: +49 (30) 3407-3087

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

","hiringOrganization":{"@type":"Organization","name":"Deutsche Bank","sameAs":"https://www.db.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Frankfurt Theodor-H-A IBC, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Hardware Development Engineer AWS AI & ML, Accelerator Servers","datePosted":"2025-09-19","description":"AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Our team designs, builds and operates Amazon's fleet of Accelerated Servers using Internal Amazon design silicon or specialized purpose accelerators (EC2.TRN, INF, G, F + more instance types). We solve systemic hardware issues and we build hardware and software systems to detect and mitigate future recurrences so that our our customers can experience the highest quality of service possible!

You will be responsible for owning the design and operations of a brand new segment of servers for the AWS fleet. You will be responsible for development of individual boards, managing third party ODM's, integrating components from within and outside of amazon and integrating firmware/software stacks ontop of the hardware to produce high quality designs for our customers.

As the end to end owner of a complex server fleet, our team works closely with partners to root cause failures and drive changes back into our current & future designs. Nothing is complete without closed loop corrective actions which drive changes back into our development processes and behavior specifications.

As a member of the AWS Hardware Engineering organization, you will apply your technical experience and work with other subject matter experts in core component development, compute server development, networking development, custom hypervisor/virtualization development and other teams. You will be responsible for hardware and systems that improve how we detect, root cause, and remediate issues. You will lead cross functional investigations and define changes needed to deliver results and will have direct exposure to internal and external AWS customers. Ideal candidates will have a background in server development, system design, root cause, scoping complex issues, qualification, problem solving and developing corrective actions.

Key job responsibilities
As a member of the Accelerated Server Hardware Engineering team you will own and lead the design, development and root cause of a new segment of accelerated servers.

You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale.

To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements.

A day in the life
Your day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development ontop of your server design. You will be responsible for learning operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale.

About the team
*Why AWS*
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

*Inclusive Team Culture*
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally.

The members of our team have a diverse set of technical backgrounds but all share a common trait of Bias for Action and strong Ownership. We enjoy applying a startup model of delivering fully functional solutions for our customers.

Basic Qualifications

Experience in developing functional specifications, design verification plans and functional test procedures
Experience working with interdisciplinary teams to execute product design from concept to production
Experience in server technologies such as, thermal, mechanical, power, and signal integrity
Bachelor's Degree in EE or equivalent

Preferred Qualifications

Master's degree in electrical engineering, computer engineering, or equivalent
Experience with the project management of technical projects
Experience in compute and storage server architecture and design for large scale applications
10 years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,700/year in our lowest geographic market up to $219,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Position Summary...

What You'Ll Do...

About Team:

Marketplace Engineering team is at the forefront of building core platforms and services to enable Walmart to deliver vast selection at competitive prices and with best in class post-order experience by enabling third-party sellers to list, sell and manage their products to our customers on walmart.com. We do this by managing the entire seller lifecycle, monitoring customer experience, and delivering high-value insights to our sellers to help them plan their assortment, price, inventory. The team also actively collaborates with partner platform teams to ensure we continue to deliver the best experience to our sellers and our customers.

What You Will Do:

As a Software Engineer III for Walmart, you’ll have the opportunity to:

Develop intuitive software that meets and exceeds the needs of the customer and the company.
You also get to collaborate with team members to develop best practices and requirements for the software.
In this role it would be important for you to professionally maintain all codes and create updates regularly to address the customer’s and company’s concerns.
You will show your skills in analysing and testing programs/products before formal launch to ensure flawless performance.
Troubleshooting coding problems quickly and efficiently will offer you a chance to grow your skills in a high-pace, high-impact environment.
Software security is of prime importance and by developing programs that monitor sharing of private information, you will be able to add tremendous credibility to your work.
You will also be required to seek ways to improve the software and its effectiveness.
Adhere to Company policies, procedures, mission, values, and standards of ethics and integrity

What You Will Bring:

B.E./B. Tech/MS/MCA in Computer Science or related technical field.
Minimum 3 years of object-oriented programming experience in Java.
Excellent computer systems fundamentals, DS/Algorithms and problem-solving skills.
Hands-on experience in building web based Java EE services/applications and Kafka, Apache Camel, RESTful Web-Services, Spring, Hibernate, Splunk, Caching.
Excellent organisation, communication and interpersonal skills.
Large scale distributed services experience, including scalability and fault tolerance.
Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS
Exposure to build, CI/CD & deployment pipelines and related technologies like Kubernetes, Docker, Jenkins etc.
A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
Experience in systems design and distributed systems.
Exposure to SQL/NoSQL data stores like Cassandra, Elastic, Mongo etc.

Benefits

Belonging

At Walmart, our vision is \"everyone included.\" by fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, inc., is an equal opportunities employer – by choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN KA BANGALORE Home Office PTPP1, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"AI/ML Public Health Data Scientist","datePosted":"2025-09-19","description":"

Job Family:

Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Develop, deploy, and optimize AI/ML models to support CDC’s mission in public health.
Conduct advanced data wrangling, statistical analysis, and predictive modeling across large-scale public health datasets.
Apply natural language processing (NLP), deep learning, and data mining to improve surveillance of opioid use, firearm injuries, and other NCIPC priority areas.
Collaborate with epidemiologists, public health experts, and policy analysts to translate AI findings into actionable insights.
Supporting development and implementation of data processing pipelines (e.g., ETL) and visualizations to support real-time data analysis and reporting.
Support cloud-based analytics environments (e.g., AWS, Azure, or GCP) for scalable AI solutions.
Author and present technical reports, peer-reviewed publications, and presentations for CDC stakeholders.
Ensure compliance with CDC data governance, privacy, and security protocols.

What You Will Need:

Master’s degree is required
Minimum TWO (2) years of experience in data science, with demonstrated expertise in AI/ML applications for health or public sector programs.
Proficiency in Python, R, and SQL, with hands-on experience using libraries such as TensorFlow, PyTorch, Scikit-learn, and NLP frameworks.
Experience with Palantir 1CDP
Demonstrated experience with big data tools (e.g., Spark, Hadoop) and cloud platforms.
Strong background in statistical modeling, causal inference, and predictive analytics.
Excellent communication skills with the ability to convey technical findings to non-technical audiences.
Prior experience supporting CDC, NIH, or other federal public health agencies.

What Would Be Nice To Have:

Familiarity with CDC NCIPC mission areas including injury prevention, opioid response, and firearm safety research.
Experience working with injury public health datasets (e.g., BRFSS, NVDRS, hospital discharge data, opioid surveillance systems).
Knowledge of federal health IT standards, data privacy (HIPAA, FISMA), and security frameworks.
Prior consultancy experience

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits Include:

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(K) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan Paydown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

Pay Details:

$87,000 - $151,000 USD

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line Of Business:

Technology Solutions

Job Description:

The DevOps Software Engineer III leads the creation of comprehensive end-to-end detailed solutions for projects and platforms with overall accountability for the technical design and delivery of a specific technical solution based on requirements from stakeholders.

Develops and maintains technical solutions, ensuring adherence to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

Ultimately, providing expert advice and lead in system / application administration, installation, configuration / provisioning, platform planning and design, integration and release / deployment management.

Depth & Scope:

Expert knowledge of the business, the broader organization, technical environment, processes, procedures, tools and other relevant technology areas (e.g. Architecture, Infrastructure, Security etc.) from a design / support / solutions perspective
Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of research, analysis, design, hardware / software support
Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
Works independently and/or autonomously as a senior/ lead on a diverse range of tasks / operational support of solutions

Education & Experience:

Undergraduate degree, Post Graduate degree or Technical Certificate
Strong academic background (e.g., computer science, engineering)
Graduate degree nice to have
5-7 years relevant experience

Customer Accountabilities:

Executes on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configures activities across Application, Platform and Infrastructure
Leads the creation of solution options and ultimately a comprehensive end-to-end solution and coordinate relevant stakeholders, as required to support development initiatives; following a \"build it, break it, fix it mentality\".
Is responsible for developing and documenting detailed solution design and act as an application SME through the design and development lifecycle ensuring alignment with Architecture
Is accountable for complex applications/systems development, programming /coding
Develops functional, technical and user interface designs for an application / system that meets the defined requirements (business, enterprise architecture direction, system performance and development standards)
Consults on development of requirements and specifications and apply functional knowledge of business functions to design optimal software / systems
Reviews technical deliverables throughout detailed design and development phase to ensure quality adherence and identify gaps or redesign requirements as needed
Identifies, recommends, sources, negotiates and implements improvements/ solutions (buy/build/reuse) to enhance customer experience, availability, and/or reduce cost in support of client needs
Works with Technology partners to define metrics and performance goals for the application
Identifies and addresses application and data issues and cross-capability and cross-release issues that affect application integrity
Researches/analyzes business requirements to evaluate and recommend optimal solutions within business technology architecture; collects environment requirements for infrastructure implementation by analyzing the current system environment, using technical tools and utilities
Works with Architects to ensure that environment modifications interact appropriately, data conversion impacts are considered, and other areas of impact are addressed and meet performance requirements of the project
Contributes to the advancement of the TD engineering practice through strong collaboration, research, analytic, and problem-solving skills

Shareholder Accountabilities:

Adheres to enterprise frameworks or methodologies that relate to software engineering activities
Ensures respective programs/ policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
Collaboratively engages with relevant stakeholders at all levels, both internal and external, to shift from finding defects to proactively preventing defects
Actively seeks and supports continuous improvement and automation opportunities within the engineering practice
Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
Identify opportunities to minimize cost, provide recommendations and/or deliver corresponding strategic solutions to support cost effectiveness and to enhance stakeholder experience
Conducts code reviews to ensure adherence to quality, standards compliance, reusability and ease of maintenance, Operational Readiness Reviews, and supporting gating and review sign-offs for solution design
Monitors service, productivity and assesses efficiency levels within own function and implement continuous process / performance improvements where opportunities exists
Leads / facilitates and/or implements actions / remediation plans to address performance / risk /governance issues
Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
Protects the interests of the organization – identifies and manage risks, and escalates non-standard, high risk activities as necessary
Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest
Provides thought leadership and/ or industry knowledge for quality engineering best practices and participates in knowledge transfer within the team and business unit
Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques
Participates in personal performance management and development activities, including cross training within own team
Keeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices
Supports the team by providing guidance and proactively identifying and resolving issues
Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
Contributes to a fair, positive and equitable environment that supports a diverse workforce
Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

Domestic Travel – Occasional
International Travel – Never
Performing sedentary work – Continuous
Performing multiple tasks – Continuous
Operating standard office equipment - Continuous
Responding quickly to sounds – Occasional
Sitting – Continuous
Standing – Occasional
Walking – Occasional
Moving safely in confined spaces – Occasional
Lifting/Carrying (under 25 lbs.) – Occasional
Lifting/Carrying (over 25 lbs.) – Never
Squatting – Occasional
Bending – Occasional
Kneeling – Never
Crawling – Never
Climbing – Never
Reaching overhead – Never
Reaching forward – Occasional
Pushing – Never
Pulling – Never
Twisting – Never
Concentrating for long periods of time – Continuous
Applying common sense to deal with problems involving standardized situations – Continuous
Reading, writing and comprehending instructions – Continuous
Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Preferred Qualifications:

5+ experience with designing and building deployment solution for our public and private cloud applications
5+ years of demonstrated experience in design, review, integrate infrastructure and application requirements (non-functional, security, integration, performance, quality, operations etc.).
5+ years of experience creating DevOps pattern and partner with engineering teams to onboard their applications to DevOps pipeline
3+ years of experience working with Azure cloud.
3+ years of experience with building pipeline scripts using Github Native actions

#Li-Amcbtech

Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank 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, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

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Position Summary...

What You'Ll Do...

Position Description \n \nImagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. \nWe're looking for a Software Engineer to join International Digital Experiences team. Want to change how different countries shop online? Then keep reading! \n \nAbout You \n \nYou are a passionate front-end engineer who loves to code. You love to take ideas and build great products with JavaScript, HTML, and CSS. You know JavaScript is imperfect, but you embrace its functional side and genuinely enjoy coding with it. You might like to talk about obscure computer science topics, but really, you just want to write simple code and ship new products and features to customers (or improve existing ones). \nYou have an eye for design and user experience. You care about more than just the code. You care about the customer experience and help our customers make better decisions while shopping. \nYou love learning new things. Your focus is on frontend JavaScript code, but you can dig in wherever needed. You are curious and are always ready to learn new things and solve hard problems. You already know or are willing to learn Node.js, GraphQL, NextJS, Nx, build tools, shell scripts or anything else that is required for the job. \n \nThings You Will Do \n \nWalmart International is a diverse and fast-growing business unit, so you'll get experience on many different projects across the organization. That said, here are some things you'll do: \n \n- Build reusable React components with modular CSS, manage data on the client with Redux, use react query, and GraphQL. \n- Refactor or improve existing code. We constantly find ways to improve all of our JavaScript code and you are all aboard. \n- Work closely with our product, design, and UX teams to create amazing and intuitive experiences that make it effortless to connect different apps together. \n- Demonstrate technical expertise in solving challenging programming and design problems \n- Ship to hundreds of thousands of users every day while having lots of autonomy in terms of code and feature ownership. \n- Share what you know and learn either one-on-one or with lightning talks to the group. \n- Work boldly with a sense of urgency; embrace mistakes, learn from them, and drive the team toward success \n \nMinimum Qualifications

\n2+ years of experience in object-oriented design and software development
\n1+ years of experience in building responsive, single page web applications using modern front-end JavaScript technologies like React, Angular, Vue etc.
\nDeep understanding of React, Node.JS and its core principles
\n1+ years of experience in creating and/or consuming RESTful web service
\nBS/MS in computer science or equivalent work experience

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

‎

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

‎

For information about PTO, see https://one.walmart.com/notices.

‎

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

‎

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

‎

For information about benefits and eligibility, see One.Walmart.

‎

The annual salary range for this position is $117,000.00-$234,000.00

‎

Additional compensation includes annual or quarterly performance bonuses.

‎

Additional compensation for certain positions may also include:

‎

- Stock

‎

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Masters: Computer Science

Primary Location...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"(USA) SUNNYVALE V - 640 W CALIFORNIA CA SUNNYVALE Home Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Software Engineer III - Cloud Governance , ITC","datePosted":"2025-09-19","description":"

Who We Are Looking For

We are looking for a Software Engineer III with the skills to automate repeatable processes to improve the efficiency of our cloud governance capabilities, help develop integrated solutions, and assist in the delivery of policy-as-code across a multi-cloud ecosystem. An ideal candidate will bring 5 or more years of software engineering experience to the role.

Our preferred candidate is a team-player with a passion for learning and taking on challenges. Attention to detail and the ability to collaborate with fellow engineers are must-have characteristics. You will own components of a system and must be able to communicate effectively with other your designs and ideas.

In addition to the requirements described above, successful candidates will have the following:

Bachelor’s degree in Computer Science or IT related discipline or any combination of equivalent relevant education, training and experience
Python Programming Experience
A secondary programming language such as Java or Golang
Experience in Infrastructure-as-code tools such as Terraform, Cloudformation, etc.
Knowledge of Agile principles and Sprint Planning, including planning/backlog tools (e.g. JIRA)
Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
Innovative problem-solving skills, with a track record of developing creative solutions to technical challenges.
Experience building Jenkins pipelines and managing github repos
Git source code control

The following qualifications are preferred, but not required:

Data Engineering experience with Databricks
Experience with Jupyter notebooks
Experience in ETL workflows using spark, AWS Glue, or similar pipelines
Cloud infrastructure development or resource management experience using public cloud provider platforms and services (e.g. AWS, Azure, GCP)
Some knowledge of Cloud Custodian and Open Policy Agent Rego
Knowledge of cloud governance principles, strategy, risk, compliance.
Governance, risk and compliance knowledge and appreciation.
Experience in cloud security best practices
Some experience in building dashboards and reporting and creating metrics from data
Basic knowledge of Cloud Security/Cybersecurity practices
Familiarity with ServiceNow development

Who You Will Work With

You will join a dedicated squad in the Bangalore, India area. This team collaborates with a team Atlanta, Georgia. As a result, flexibility is key. You will partner with architects, security experts and interact with engineers in peer squads, but this role will allow you to focus on what you truly enjoy – delivering quality code and software features that make a difference.

As part of the Nike Engineering Community, you will have the opportunity to participate in community sessions, engineering forums, governance activities, and networks within Nike.

What You Will Work On

You will join a squad making a difference at Nike through the development of an enterprise wide cloud governance capabilities that identify / detect and report non-adherence to policies, standards and rules. The team develops solutions that can assess whether rules have been followed or develop APIs or augments existing tools to collect this data. The team also develops policy-as-code to support detective and corrective policy automation for cloud infrastructure in support of cost optimization, security, and infrastructure policies as a multi-layered defense against non-compliant resources in AWS, Azure, GCP, and China-based clouds.

You will participate in team/product planning sessions, share your ideas for our products and services, and help refine and prioritize our backlog. You will partner with other Cloud Engineers, Cloud Governance Software Engineers, Architecture, Product and Program managers to seamlessly integrate our products and capabilities into our multi-cloud ecosystem, while helping to assess risks and navigate policy exceptions. You will work closely with cloud infrastructure engineers and cloud account holders to iteratively deploy product features and codified policies that will improve the operating posture of Nike in the cloud.

You will write code to build systems to measure compliance and implement policy-as-code while implementing coding best practices including unit testing, security compliance, and integration testing.

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L’équipe Professional Services (ProServe) d’Amazon Web Services recherche un(e) ingénieur(e) en apprentissage automatique (ML Engineer) talentueux(se) pour rejoindre notre équipe en tant que Consultant(e) Delivery chez Amazon Web Services (AWS). Dans ce rôle, vous travaillerez en étroite collaboration avec les clients pour concevoir, mettre en œuvre et gérer des solutions d’IA/AA et de GenIA sur AWS, répondant à leurs exigences techniques et à leurs objectifs métiers. Vous serez un acteur clé de la réussite des clients dans leur parcours vers le cloud, en leur apportant une expertise technique et les meilleures pratiques tout au long du cycle de vie des projets d’AA.

Doté(e) d’une connaissance approfondie des produits et services AWS, en tant que Consultant(e) Delivery, vous serez capable d’architecturer des solutions d’IA/AA et de GenIA complexes, évolutives et sécurisées, adaptées aux besoins spécifiques de chaque client. Vous travaillerez en étroite collaboration avec les parties prenantes pour recueillir les besoins, évaluer l’infrastructure existante et proposer des stratégies de migration efficaces vers AWS. En tant que conseiller(ère) de confiance auprès de nos clients, vous fournirez des recommandations sur les tendances du secteur, les technologies émergentes et les solutions innovantes. Vous serez responsable de la conduite du processus de mise en œuvre, en veillant au respect des meilleures pratiques, à l’optimisation des performances et à la gestion des risques tout au long du projet.

L’organisation Professional Services d’AWS est une équipe mondiale d’experts qui aide les clients à atteindre les résultats métiers souhaités grâce à l’utilisation du cloud AWS. Nous collaborons avec les équipes des clients et le réseau de partenaires AWS (APN) pour mener à bien des initiatives de cloud computing à l’échelle de l’entreprise. Notre équipe propose un ensemble d’offres permettant aux clients d’atteindre des objectifs précis liés à l’adoption du cloud en entreprise. Nous délivrons également des conseils spécialisés à travers nos pratiques globales, qui couvrent une grande variété de solutions, de technologies et de secteurs d’activité

****************************************************

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
En tant que professionnel(le) expérimenté(e) des technologies, vous serez responsable des missions suivantes :

1) Mise en œuvre de projets IA/AA et GenIA de bout en bout : comprendre les besoins métiers, préparer les données, développer des modèles, déployer et surveiller les solutions.

2) Conception et implémentation de pipelines d'apprentissage automatique prenant en charge des charges de travail ML haute performance, fiables, évolutives et sécurisées.

3) Architecture de solutions ML évolutives et d'opérations ML (MLOps) via les services AWS, en utilisant des solutions GenIA lorsque pertinent.

4) Collaboration avec des équipes transverses (Science appliquée, DevOps, Ingénierie des données, Infrastructure cloud, Applications) pour préparer, analyser et opérationnaliser données et modèles IA/AA.

5) Conseil stratégique aux clients sur les architectures cloud et solutions IA/AA/GenIA en tant qu'expert de confiance.

6) Partage des connaissances et bonnes pratiques au sein de l'organisation via mentorat, formations, publications et création d'artefacts réutilisables.

7) Garantie de conformité aux normes de l'industrie et accompagnement des clients dans l'avancement de leurs stratégies IA/AA, GenIA et cloud.

Ce rôle implique un contact direct avec les clients et peut nécessiter des déplacements occasionnels sur leurs sites selon les besoins.

*********************************************************

As an experienced technology professional, you will be responsible for:
1.\tImplementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
2.\tDesigning and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3.\tDesigning scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
4.\tCollaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
5.\tServing as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6.\tSharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7.\tEnsuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
This is a customer-facing role with potential travel to customer sites as needed.

About the team
AWS Global Services regroupe des experts issus de l’ensemble d’AWS qui aident nos clients à concevoir, construire, exploiter et sécuriser leurs environnements cloud. Les clients innovent avec AWS Professional Services, développent leurs compétences grâce à AWS Training and Certification, optimisent avec AWS Support et Managed Services, et atteignent leurs objectifs avec AWS Security Assurance Services. Notre expertise et nos technologies émergentes incluent les partenaires AWS, AWS Sovereign Cloud, AWS International Product et le Generative AI Innovation Center. Vous rejoindrez une équipe diversifiée d’experts techniques présents dans des dizaines de pays, qui accompagnent les clients pour réaliser davantage grâce au cloud AWS.

Expériences Diversifiées :
AWS valorise la diversité des expériences. Même si vous ne répondez pas à toutes les qualifications et compétences souhaitées listées dans l’offre ci-dessous, nous encourageons les candidat(e)s à postuler. Que votre carrière débute à peine, qu’elle n’ait pas suivi un parcours traditionnel ou qu’elle inclue des expériences alternatives, ne laissez pas cela vous empêcher de postuler.

Pourquoi AWS ? Amazon Web Services (AWS) est la plateforme cloud la plus complète et la plus largement adoptée au monde. Nous avons été pionniers dans l’informatique en nuage et n’avons jamais cessé d’innover - c’est pourquoi des clients, des startups les plus performantes aux entreprises du Global 500, font confiance à notre large gamme de produits et services pour propulser leurs activités.

Culture d’équipe inclusive – Chez AWS, apprendre et faire preuve de curiosité fait partie de notre ADN. Nos groupes d’affinité dirigés par les employé(e)s favorisent une culture d’inclusion qui nous permet d’être fier(e)s de nos différences. Des événements et des expériences d’apprentissage réguliers, comme nos conférences « Conversations sur la race et l’ethnicité » (CORE) et AmazeCon (diversité de genre), nous inspirent à toujours célébrer ce qui nous rend uniques.

Mentorat et développement de carrière – Nous relevons continuellement nos exigences de performance dans notre ambition de devenir le meilleur employeur au monde. C’est pourquoi vous trouverez ici d’innombrables ressources de partage de connaissances, de mentorat et d’accompagnement pour vous aider à évoluer professionnellement.

Équilibre vie professionnelle/vie personnelle – Nous accordons de l’importance à l’harmonie entre vie professionnelle et vie personnelle. Réussir au travail ne devrait jamais se faire au détriment de sacrifices à la maison, c’est pourquoi nous recherchons la flexibilité dans notre culture de travail. Lorsque nous nous sentons soutenus au travail comme à la maison, rien n’est impossible dans le cloud.

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AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

- Plus de 5 ans d’expérience en architecture et mise en œuvre de solutions cloud
- Plus de 5 ans d’expérience en ingénierie des données, du logiciel ou de l’apprentissage automatique, avec une solide compréhension du calcul distribué (par exemple, pipelines de données, entraînement et inférence distribués, conception d’infrastructures ML)
- Plus de 3 ans d’expérience dans le développement de plateformes pour la modélisation prédictive, le traitement du langage naturel et l’apprentissage profond, avec un historique avéré de création, d’hébergement et de déploiement de modèles d’apprentissage automatique sur des services cloud (par exemple, Amazon SageMaker ou services cloud similaires)
- Plus de 3 ans d’expérience en développement avec SQL, Python, et au moins un autre langage de programmation (par exemple, Java, Scala, JavaScript, TypeScript). Maîtrise des principales bibliothèques et frameworks ML du secteur, tels que TensorFlow, PyTorch.
- Maîtrise du français et de l’anglais requise si le poste est situé au Québec
- En raison de la nature du poste, qui implique des interactions avec d’autres entités d’Amazon à l’échelle mondiale ainsi qu’avec des employés et parties prenantes d’Amazon dans d’autres provinces canadiennes, la maîtrise du français et de l’anglais est exigée pour ce poste si le candidat est situé au Québec.
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- 5+ years of experience in cloud architecture and implementation
- 5+ years of experience in data or software or machine learning engineering, with a strong understanding of distributed computing. (e.g. data pipelines, distributed training and inference, ML infrastructure design).
- 3+ years developing platforms for predictive modeling, natural language processing, and deep learning, with a proven track record of building, hosting and deploying machine learning models on cloud services. (e.g., Amazon SageMaker or similar cloud services)
- 3+ years in developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with industry leading ML libraries and frameworks such as TensorFlow, PyTorch.
- Fluent in French and English if located in Quebec
- Due to the nature of the role that requires interaction with other Amazon entities globally and with Amazon employees and stakeholders in other provinces in Canada, bilingualism French and English is required for this position if the candidate is located in Quebec.

Preferred Qualifications

- Expérience AWS souhaitée, avec une maîtrise d’un large éventail de services AWS (par exemple : SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- Certifications AWS de niveau professionnel (par exemple : Solutions Architect Professional, DevOps Engineer Professional) souhaitées
- Expérience en automatisation et en scripting (par exemple : Terraform, Python)
- Connaissance des normes courantes de sécurité et de conformité (par exemple : HIPAA, RGPD)
- Excellentes compétences en communication, avec la capacité d’expliquer des concepts techniques à des publics techniques et non techniques
- Expérience dans la création de pipelines ML selon les meilleures pratiques MLOps, incluant : prétraitement des données, hébergement de modèles, sélection de caractéristiques, optimisation des hyperparamètres, entraînement distribué, entraînement sur GPU, déploiement, surveillance et réentraînement.
- Expérience avec les outils MLOps (par exemple : MLFlow, Kubeflow) et les outils d’orchestration (par exemple : Airflow, AWS Step Functions). Expérience dans la création d’applications utilisant des outils et technologies d’IA générative (LLM, bases vectorielles, orchestrateurs tels que LangChain, ingénierie de prompts). Expérience en développement d’infrastructure as code (par exemple : CloudFormation, CDK, Terraform), conteneurs et pipelines CI/CD.
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- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Experience building ML pipelines with best MLOps practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed training, GPU training, deployment, monitoring, and retraining.
- Experience with MLOps tools (e.g., MLFlow, Kubeflow) and orchestration tools (e.g., Airflow, AWS Step Functions). Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering). Experience developing Infrastructure as Code (e.g., CloudFormation, CDK, Terraform), Containers and CI/CD Pipelines.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Amazon est un employeur garantissant l'égalité des chances et ne fait aucune discrimination sur la base du statut d'ancien combattant protégé, d'un handicap ou de tout autre statut protégé par la loi.

Notre culture inclusive permet aux Amazoniens d'offrir les meilleurs résultats à nos clients. Si vous avez un handicap et que vous avez besoin de mesures d'adaptation ou d'adaptation en milieu de travail pendant le processus de candidature et d'embauche, y compris du soutien pour l'entrevue ou le processus d'intégration, veuillez visiter https://amazon.jobs/content/en/how-we-hire/accommodations pour plus d'informations. Si le pays ou la région dans lequel vous postulez ne figure pas dans la liste, veuillez communiquer avec votre partenaire de recrutement.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary for this position ranges from $99,900/year up to $166,900/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

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Intelligent. Dynamic. Resilient.

Everfox, formerly Forcepoint Federal, has been defending the world’s most critical data and networks against the most complex cyber threats imaginable for more than 25 years. As trailblazers in defense-grade, high assurance cyber security, we have been leading the way in developing and delivering innovative cyber security technology. We protect data wherever it resides. Our unwavering dedication and commitment to our customers and the critical missions they serve are what set us apart. We are dynamic, vigilant, and proactive in everything we do. Our suite of cross domain, threat protection and insider risk solutions empower governments and enterprise organizations to use data safely - where and however their people need it. At Everfox, we innovate, we invest, we achieve. We protect what matters most to our customers. And we offer protection like no other. We do all of this so our customers can focus on what matters most… their mission.

Job Title: Software Engineer III

Location: Herndon, VA

The Position:

Everfox has exciting opportunities in growth areas with an immediate need for a Software Engineer to enhance capabilities of cyber products for security-conscious government & commercial customers. The position will be responsible for developing & testing new product capabilities, software development/build tools, software test infrastructure & operational support for cross-domain products including Linux based trusted access thin-client.

The ideal candidate is a self-starter, working in a cohesive team environment, willing to grow & learn using many software development & operational tools to test, debug & support software for secure Linux desktop environments, IT operations/enterprise management, IP networking/routing and remote/virtual desktop deployments.

What You’Ll Be Doing:

Self-starter utilizing your Linux and scripting expertise to support and field critical customer driven requirements, enabling secure data transfer
Utilize interpersonal skills to engage directly with the customer to provide advanced design, analysis and implementation of our software
Demonstrate competency working hands-on in Linux based environments, troubleshooting on-site technical issues, using and configuring the Everfox solutions to deliver critical customer driver requirements
Leverage standard networking concepts to support the design and implementation of Cross Domain solution to include failover, co-op, and load balancing as well as interoperability with other components within the enterprise.
Develop data inspection policies using proprietary and open-source programming languages
Provide technical briefings to customers and Everfox corporate leadership as required
Mission oriented to provide training, troubleshooting, and on-site/remote support to customers.

Work Schedule:

Full Time, Monday – Friday (standard work schedule with flexibility for mission critical requirements)

This position may require some minimum travel as needed to meet customer and project requirements.

Things You Must Have to Apply:

Active (currently in use) TS/SCI clearance with Counter Intelligence Polygraph
This position will require access to information that is subject to the U.S International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). The applicant must have the ability to obtain the appropriate work authorizations that may be required under U.S. ITAR or EAR regulations from the applicable U.S government agency.
BS Computer Science, Computer Engineer, Information Security or equivalent
Familiarity with software development in Linux environments using a variety of programming and scripting languages including Java, Python, Go, C/C++, and/or bash
Familiarity with TCP/IP networking & related protocols (such as HTTP, SSH, IPSEC, TLS/SSL, etc)
Basic understanding of private and public keys and or certificates
Experience with version control technologies such as Git
5+ years of experience in software engineering
Red Hat Enterprise, Fedora or Ubuntu Linux operating systems

Things that Would be Nice to Have:

Experience with security design and architecture of Cross Domain solutions (CDS)
Agile or Scrum development experience
Experience with deploying cloud technologies such as MS Azure or AWS
Development experience in a distributed, parallel or clustered processing environment
Experience with virtual desktop redisplay technologies such as RDP, Citrix Receiver or VMware Horizon View
Experience with thin-client usage, management & deployment scenarios
Experience developing cloud-based technologies on Microsoft Azure or Amazon AWS
A reasonable estimate of the base salary range for this role is:

$118,400.00-150,799.00 USD

The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to a base salary and bonus plans, Everfox offers a generous benefits package including flexible PTO, a 401k match, and contribution to healthcare coverages. Our talent acquisition team will provide specific information regarding bonus eligibility and benefits offerings.

________________________________________________________________

Don’t meet every single qualification? Studies show people are hesitant to apply if they don’t meet all requirements listed in a job posting. If there is something slightly different about your previous experience, but it otherwise aligns and you’re excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team.

Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to HR@everfox.com

Everfox is a Federal Contractor. Certain positions with Everfox require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be \"U.S. Persons,\" as defined in these regulations. Generally, a \"U.S. Person\" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Applicants must have the right to work in the location to which you have applied.

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About Us

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Role:

- We are seeking a seasoned AI/ML Engineer to join our Cloud Operations (CloudOps) team. The ideal candidate should have strong expertise in designing, developing, and deploying AI/ML models and automation solutions that optimize cloud infrastructure management and operational efficiency.

Primary Responsibilities:

- Design, develop, and deploy machine learning models and AI algorithms to automate cloud infrastructure, monitoring, fault detection, and predictive maintenance.

- Collaborate with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to to integrate AI/ML solutions into cloud orchestration and management platforms.

- Build scalable data pipelines and workflows using cloud-native services (preferably AWS, GCP) for real-time and batch ML model training and inference.

- Analyze large volumes of cloud telemetry data (logs, metrics, traces) to extract actionable insights using statistical methods and ML techniques.

- Implement anomaly detection, capacity forecasting, resource optimization, and automated remediation solutions.

- Develop APIs and microservices to expose AI/ML capabilities for CloudOps automation.

- Work with SecOps to ensure ML models comply with privacy, and governance standards.

- Optimize existing AI/ML workflows for cost, performance, and accuracy.

- Stay updated with the latest trends in AI/ML, cloud computing, and infrastructure automation.

Skills & Requirements:

6+ years of professional experience in AI/ML engineering, preferably in cloud infrastructure or operations environments.
Strong proficiency in Python (relevant libraries such as pandas and numpy) or R, or similar programming languages used in AI/ML development.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.
Hands-on experience with MCP Server, AI Agents, and A2A (Agent-to-Agent) communication
Experience with Large Language Model (LLM) operations (LLM Ops)
Expertise in cloud platforms (AWS, Azure, or GCP) and their AI/ML services (e.g., SageMaker, Bedrock, Anthropic, Azure ML, OpenAI, Vertex AI).
Strong understanding of data structures, algorithms, and statistical modeling.
Experience building and maintaining data pipelines using tools like Apache Spark, Kafka, Airflow, or cloud-native alternatives.
Knowledge of containerization and orchestration (Docker, Kubernetes) to deploy ML models in production.
Familiarity with infrastructure monitoring tools (Prometheus, Grafana, ELK Stack) and cloud management platforms.
Experience with CI/CD pipelines and automation tools in cloud environments.
Excellent problem-solving skills and ability to work independently as well as in cross-functional teams.
Strong communication skills for collaborating with technical and non-technical stakeholders.
Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation.
Experience with cybersecurity principles related to cloud and AI/ML systems.

All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.

","hiringOrganization":{"@type":"Organization","name":"Automation Anywhere","sameAs":"https://www.automationanywhere.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IN Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Conseiller(ère) en prestation de services senior - AI/ML | Senior Delivery Consultant - AI/ML, Professional Services","datePosted":"2025-09-19","description":"Êtes-vous enthousiaste à l’idée de créer des solutions logicielles autour de grands systèmes complexes d’apprentissage automatique (AA) et d’apprentissage profond (AP)? Vous souhaitez aider les plus grandes entreprises mondiales à tirer une valeur commerciale de l’adoption et de l’automatisation de l’intelligence artificielle (IA)? Vous souhaitez parfaire vos connaissances au contact des cas d’utilisation de l’AA et de l’AP d’AWS mis en œuvre dans de nombreuses entreprises? Vous êtes ravi à l’idée d’être un élément clé d’Amazon, entreprise pionnière qui façonne la technologie mondiale de l’IA et investit dans l’apprentissage automatique depuis des décennies?

Chez Amazon Web Services (AWS), nous recrutons des ingénieurs techniques en apprentissage automatique, qui collaboreront avec nos scientifiques des données afin de fournir des solutions révolutionnaires aux clients. Nous recherchons des ingénieurs ayant une expérience dans la science des données et des scientifiques des données ayant une expérience dans l’ingénierie pour soutenir nos efforts auprès du milieu de l’Internet des objets (IdO), des corporations et des jeunes entreprises. Nous voulons faire passer votre savoir-faire en science des données à un niveau supérieur, tout en maximisant pour les clients les avantages de l’IA et de l’AA sur la plateforme AWS. Cela signifie concevoir et opérationnaliser des solutions d’AA et d’AP pour nos clients, tout en les aidant à adopter les bonnes pratiques actuelles en matière d’apprentissage automatique, et ce, à chaque étape du cycle de développement de leurs modèles.

Les services professionnels AWS constituent une équipe de consultants unique en son genre. Nous sommes fiers d’être préoccupés par le client et de nous concentrer sur la mise en œuvre de l’AA chez nos clients. Si vous avez de l’expérience dans le domaine de l’AA, y compris la création, le déploiement et la surveillance de modèles, nous aimerions vous compter parmi notre équipe. Une connaissance des solutions infonuagiques (pas nécessairement AWS) et des bonnes pratiques en matière de DevOps est essentielle, car vous travaillerez avec des équipes de scientifiques des données, d’ingénieurs de données et d’architectes pour concevoir de véritables solutions de bout en bout. Vous devez être prêt(e) à découvrir de nouvelles technologies et en avoir l’envie.

Vous fournirez des informations générales et approfondies aux clients et aux partenaires pour les aider à éliminer les contraintes qui les empêchent d’exploiter les services AWS de manière à en tirer une valeur stratégique. Ce rôle exige une implication dans le travail d’équipe, un sens de l’urgence et des compétences en communication. La conception de solutions d’IA/AA fiables, évolutives et performantes nécessite une solide expertise technique, une bonne compréhension des principes fondamentaux de l’informatique et une expérience pratique dans la construction de systèmes distribués à grande échelle.

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Are you excited about building software solutions around large, complex Machine Learning (ML) and Deep Learning (DL) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Artificial Intelligence (AI)? Eager to learn from many different enterprises’ use cases of AWS ML and DL? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?

At Amazon Web Services (AWS), we’re hiring technical Machine Learning Engineers to collaborate with our Data Scientists to deliver ground-breaking solutions for customers. We are looking for Engineers with Data Science experience and Data Scientists with Engineering experience to support our efforts in the Enterprise, IoT, and start-up communities. We want to take your full-stack Data Science know-how to a new level by empowering AWS customers to maximize the benefits they receive through AI/ML on the AWS platform. This means building and operationalizing ML and DL solutions for our customers while helping them adopt modern Machine Learning best practices throughout every stage of their model development lifecycle.

AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the ML enablement of our customers. If you have experience with ML, including building, deploying, and monitoring models, we’d like you to join our team. A familiarity with cloud solutions (not necessarily AWS) and DevOps best practices is key as you will work with teams of Data Scientists, Data Engineers, and Architects to build truly end-to-end solutions. You must be prepared and eager to learn new technologies in this role.

You will provide deep and broad insight to customers and partners to help remove constraints that prevent them from leveraging AWS services to create strategic value. A commitment to team work, hustle, and communication skills are important in this role. Creating reliable, scalable, and high-performance AI/ML solutions requires strong technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.

Key job responsibilities
* Diriger des projets d’apprentissage automatique (AA/IA) complets : compréhension des besoins de l’entreprise, préparation des données, développement de modèles, déploiement et surveillance.
* Concevoir et mettre en œuvre des plateformes de données performantes, fiables et sécurisées.
* Concevoir des solutions et des opérations d’AA évolutives (MLOps) à l’aide des services AWS. Tirer parti des solutions d’IA générative, le cas échéant.
* Créer et évaluer des modèles prédictifs afin de fournir des informations exploitables à des fins de prévision, d’optimisation des ressources et d’analyse des tendances de la clientèle.
* Collaborer avec des équipes interfonctionnelles (DevOps, ingénierie des données, IdO, calcul haute performance) pour préparer, analyser et rendre opérationnels les données et les modèles.
* Agir en tant que conseiller de confiance auprès des clients sur les solutions d’IA et d’AA et les architectures infonuagiques.
* Accompagner et encadrer les débutants afin de favoriser leur développement professionnel.
* Élaborer du contenu technique, tel que des livres blancs et des articles de blog, afin de partager les meilleures pratiques.
* Veiller à ce que les solutions répondent aux normes de l’industrie et aider les clients à faire progresser leurs stratégies d’adoption de l’IA, de l’AA et du nuage.

Il s’agit d’un poste en contact avec la clientèle, avec des déplacements possibles sur les sites des clients, le cas échéant.

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* Lead end-to-end machine learning (ML/AI) projects, from understanding business needs to data preparation, model development, deployment and monitoring.
* Design and implement data platforms that support high-performance, reliable, and secure data platforms.
* Design scalable ML solutions and operations (MLOps) using AWS services. Leverage Generative AI solutions when applicable.
* Build and evaluate predictive models to provide actionable insights for forecasting, resource optimization, and customer trends.
* Collaborate with cross-functional teams (DevOps, Data Engineering, IoT, HPC) to prepare, analyze, and operationalize data and models.
* Serve as a trusted advisor to customers on AI/ML solutions and cloud architectures
* Coach and mentor junior individuals to support their professional growth.
* Develop technical content, such as white papers and blog posts, to share best practices.
* Ensure solutions meet industry standards and support customers in advancing their AI/ML and cloud adoption strategies.

This is a customer-facing role with potential travel to customer sites as needed.

About the team
À propos d'AWS (English description to follow)

Des expériences diverses
AWS accorde une grande importance à la diversité des expériences. Même si vous ne répondez pas à toutes les qualifications et compétences énumérées dans la description du poste, nous encourageons les candidats à postuler. Si votre carrière débute, si vous n'avez pas suivi un parcours traditionnel ou si vous avez des expériences alternatives, cela ne doit pas vous empêcher de postuler.

Pourquoi AWS ?
Amazon Web Services (AWS) est la plateforme infonuagique la plus complète et la plus amplement adoptée au monde. Nous avons été les pionniers de l'informatique infonuagique et n'avons jamais cessé d'innover. C'est pourquoi nos clients, des startups les plus prospères jusqu’aux entreprises du Fortune 500, font confiance à notre gamme de produits et de services pour faire avancer leurs entreprises.

Une culture d'équipe inclusive
Chez AWS, c’est dans notre nature d'apprendre et d'être curieux. Nos groupes d'affinité dirigés par nos employés favorisent une culture d'inclusion qui nous permet d'être fiers de nos différences. Des événements et des expériences d'apprentissage toujours en cours, notamment les conférences sur la race et l'ethnicité (CORE) et AmazeCon (diversité des genres), nous incitent à ne jamais cesser de valoriser nos différences.

Mentorat et développement de carrière
Nous élevons continuellement la barre de notre performance au plus haut, car nous nous efforçons de devenir le meilleur employeur de la planète. C'est ainsi que vous trouverez que nous avons de nombreuses ressources de partage de connaissances, de mentorat et d'autres ressources de développement de carrière pour vous aider à devenir un professionnel mieux équilibré.

L’équilibre entre vie professionnelle et vie privée
Nous accordons une grande importance à l'équilibre entre la vie professionnelle et la vie privée. La réussite professionnelle ne doit jamais croite en désavantagent la vie personnelle. C'est donc pour ça que la flexibilité d’horaires et de conditions de travail fait partie de notre culture. Lorsque nous nous sentons soutenus autant au travail qu’à la maison, il n'y a rien que nous ne puissions réaliser dans l’environnement de l’infonuagique.

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About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

- Baccalauréat ou expérience équivalente dans un domaine quantitatif (p. ex. informatique, statistiques, mathématiques). Bonne connaissance des méthodes statistiques.
- Plus de 10 ans d’expérience dans l’ingénierie des données ou logicielle, avec une solide compréhension du traitement distribué des données (p. ex. pipelines de données, moteurs de calcul distribués, conception de l’infrastructure d’AA).
- Plus de 5 ans d’expérience dans le développement de plateformes pour la modélisation prédictive, le traitement du langage naturel et l’apprentissage profond, avec une expérience démontrée dans la création, l’hébergement et le déploiement de modèles d’apprentissage automatique.
- Maîtrise de SQL, Python et d’au moins un langage de programmation supplémentaire (p. ex. Java, Scala, JavaScript, TypeScript). Maîtrise des bibliothèques et des cadres d’AA de pointe tels que scikit-learn, TensorFlow et PyTorch.
- Plus de 2 ans d’expérience dans les services infonuagiques liés à l’apprentissage automatique (p. ex. SageMaker).
- Maîtrise du français et de l'anglais si vous êtes basé à Montréal
- Puisque ce rôle nécessite que l’employé interagisse avec d’autres entités d’Amazon à l’échelle mondiale ainsi qu’avec des employés et intervenants dans d’autres provinces canadiennes, la connaissance du français et de l’anglais est exigée pour ce poste si vous êtes basé à Montréal
- ---
- Bachelor’s degree or equivalent experience in a quantitative field (e.g., Computer Science, Statistics, Mathematics). Strong understanding of statistical methods.
- 10+ years of experience in data or software engineering, with a strong understanding of distributed data processing. (e.g. data pipelines, distributed computing engines, ML infrastructure design).
- 5+ years developing platforms for predictive modeling, natural language processing, and deep learning, with a proven track record of building, hosting and deploying machine learning models.
- Proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with industry leading ML libraries and frameworks such as scikit-learn, TensorFlow, PyTorch.
- 2+ year of experience with cloud services related to machine learning (e.g., SageMaker)
- Fluent in French and English if based in Montreal
- Due to the nature of the role that requires interaction with other Amazon entities globally and with Amazon employees and stakeholders in other provinces in Canada, bilingualism French and English is required for this position if based in Montreal

Preferred Qualifications

- Expérience dans un rôle axé sur le client, idéalement dans le domaine du conseil, de la direction d’engagements techniques et de la traduction d’exigences commerciales en solutions de données évolutives. Influence démontrée sur la prise de décision de la haute direction (directeurs, cadres supérieurs et vice-présidents).
- Expérience dans la création de pipelines d’AA en suivant les meilleures pratiques en matière de MLOps, notamment : prétraitement des données, hébergement de modèles, sélection des caractéristiques, réglage d’hyperparamètres, entraînement distribué, entraînement de processeurs graphiques, déploiement, surveillance et réentraînement.
- Expérience de la création d’applications à l’aide d’outils et de technologies d’IA générative (LLM, bases de données vectorielles, orchestrateurs tels que LangChain, ingénierie de requête).
- Expérience des cadres distribués (p. ex. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, BD) et compréhension de JVM ou des environnements d’exécution similaires.
- Expérience dans le développement d’infrastructures en tant que code (p. ex. CloudFormation, CDK, Terraform), de conteneurs et de pipelines CI/CD.
- Expérience des outils MLOps (p. ex. MLFlow, Kubeflow, DVC) et des outils d’orchestration (p. ex. Airflow, AWS Step Functions).
- ---
- Experience in a customer-facing role, ideally in consulting, leading technical engagements, and translating business requirements into scalable data solutions. Proven record of impact with senior leadership (director, c-level and VP) decision making.
- Experience building ML pipelines with best MLOps practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed training, GPU training, deployment, monitoring, and retraining.
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)
- Experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and understanding of JVM or similar runtime.
- Experience developing Infrastructure as Code (e.g., CloudFormation, CDK, Terraform), Containers and CI/CD Pipelines
- Experience with MLOps tools (e.g., MLFlow, Kubeflow, DVC) and orchestration tools (e.g., Airflow, AWS Step Functions).

Amazon est un employeur garantissant l'égalité des chances et ne fait aucune discrimination sur la base du statut d'ancien combattant protégé, d'un handicap ou de tout autre statut protégé par la loi.

Notre culture inclusive permet aux Amazoniens d'offrir les meilleurs résultats à nos clients. Si vous avez un handicap et que vous avez besoin de mesures d'adaptation ou d'adaptation en milieu de travail pendant le processus de candidature et d'embauche, y compris du soutien pour l'entrevue ou le processus d'intégration, veuillez visiter https://amazon.jobs/content/en/how-we-hire/accommodations pour plus d'informations. Si le pays ou la région dans lequel vous postulez ne figure pas dans la liste, veuillez communiquer avec votre partenaire de recrutement.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

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Software Engineer Iii

Inclusive and Accessible Opportunity at LexisNexis Risk Solutions

If you are passionate about technology, collaboration, and learning, we encourage you to apply—even if your experience doesn't perfectly match every qualification listed below.

About The Business

About Our Team

About The Role

Responsibilities

Design, develop, and maintain full-stack web applications using React JS for the frontend and .NET for the backend.
Build and maintain RESTful APIs to support web and desktop application.
Strong understanding of component-based architecture using React JS, enhancing code quality with TypeScript, closures and asynchronous programming using JavaScript, and building scalable, server-side applications using .net.
Hands-on professional experience with modern CSS techniques and frameworks.
Experience with performance testing browser-based applications and working in an Agile/Scrum development environment.
Participates in on-call rotations with their team as necessary, design reviews and ensure best practices are followed in both frontend and backend development.
Ensure code quality, performance optimization, and security best practices in both frontend and backend codebases.
Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.

Requirements

Experience in software development, with a strong focus on front-end development.
Proficiency in .net and React JS.
Extensive experience with RESTful services and API design.
Understanding of cloud platforms and services (e.g., AWS, Azure, Google Cloud).
Proven experience in release management and the software development lifecycle.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Experience with CI/CD pipelines and automated testing.

Good To Have

Knowledge of containerization technologies (e.g., Docker, Kubernetes).
Familiarity with Agile development methodologies.

Our Commitment to Diversity, Equity, and Inclusion

Learn more about the LexisNexis Risk team and how we work

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

Usa Job Seekers:

EEO Know Your Rights.

","hiringOrganization":{"@type":"Organization","name":"RELX","sameAs":"https://www.relx.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India-Chennai (Ascendas Tech park)","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"AI/ML Engineer (Dublin, CA)","datePosted":"2025-09-18","description":"

About Articul8 Ai

At Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.

As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers’ success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.

Role Overview

We are seeking an AI/ML Engineer to design, develop, and deploy AI-driven solutions that solve real-world problems at scale and deliver direct impact for our customers. You will work with machine learning models, algorithms, large language models (LLMs), and AI applications while optimizing performance for production environments.

This role requires expertise in AI/ML modeling, including knowledge of various model types, layer architectures, and training strategies. You should have experience with cloud platforms and be comfortable following software engineering best practices. You will work directly with customers to understand their requirements while collaborating closely with our Customer Success team. You will also engage cross-functionally with Product, Engineering, and Applied Research teams to develop and deploy the best AI solutions.

Key Responsibilities

Design, develop, and deploy AI and machine learning models for production environments.
Train, fine-tune, and optimize deep learning models and interface with LLM-based solutions.
Engage with customers to understand their needs and transform them into actionable tasks to develop functionality within our products.
Build algorithms and ML models to analyze diverse structured and unstructured data, including pattern recognition, anomaly detection, forecasting, and computer vision.
Collaborate with software engineers and the product team to integrate AI capabilities into our applications.
Develop APIs and microservices to serve AI models in production.
Stay current with the latest AI models, research, and best practices.
Ensure ethical AI practices, data privacy, and security compliance.

Our Culture Matters

At Articul8, culture isn’t just words — it’s how we show up for each other and our customers:

Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.
Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.
Care deeply – Invest in relationships, act with empathy, and put customer and teammate success at the center.
Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness, even when constraints are real.
Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.

Required Qualifications

Bachelor's, Master's, or PhD in Computer Science, AI, Machine Learning, or related field.
5+ years of experience in AI/ML development and deployment.
Strong programming skills in Python and deep learning frameworks like PyTorch
Ability to contribute effectively to production-level codebases
Experience with deep learning, NLP, computer vision, and/or reinforcement learning
Proficiency in data preprocessing, feature engineering, and model evaluation techniques
Experience with AWS, GCP, or Azure for AI model deployment
Knowledge of containerization technologies such as Docker and Kubernetes
Strong problem-solving and analytical skills
Familiarity with MLOps tools like MLflow, Kubeflow, or TensorBoard and CI/CD pipelines
Excellent communication and teamwork skills
Experience with multi-cloud AI deployments.
Knowledge of generative AI and autonomous AI agents.
Experience with ML modeling for multi-dimensional, large time-series datasets.
Proficiency in distributed computing frameworks (Spark, Ray, Dask).
Experience in edge AI or AI model compression (quantization, pruning).

Preferred Qualifications

Previous work experience with AI SaaS platforms.

Professional Attributes

Problem Solving: Ability to break down complex problems into manageable components, devise creative solutions, and refine ideas based on feedback and evidence.
Collaboration and Communication: Skill in working cross-functionally—communicating clearly, offering constructive feedback, delegating responsibilities, and respecting diverse perspectives.
Project Management and Prioritization: Demonstrated ability to juggle multiple projects, meet deadlines, and efficiently balance short-term objectives with long-term goals.
Critical Thinking: Capacity to evaluate assumptions, question methodologies, challenge personal biases, and maintain healthy skepticism when interpreting results.
Curiosity and Continuous Learning: Drive to stay informed about advances in related fields and actively seek opportunities to expand knowledge.
Emotional Intelligence and Intellectual Humility: Demonstration of empathy, resilience, adaptability, and self-awareness. Willingness to recognize limitations, embrace uncertainty, acknowledge mistakes, and value others' contributions.

What We Offer

Joining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It’s an “all in” culture — not about long hours, but about shared commitment, ownership, and impact.

The opportunity to directly influence reference architectures, product roadmap, and the future of enterprise AI adoption.
A culture of curiosity and innovation, where your ideas shape enterprise AI adoption.
Opportunities for continuous learning and growth, including mentoring, knowledge sharing, and thought leadership.
The chance to work with leading global enterprises on cutting-edge Generative AI projects.
A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.
Equity and ownership opportunities in a category-defining company.

If you're ready to join a team that’s moving fast, thinking big, and shaping the future of Generative AI in the enterprise, we’d love to hear from you.

","hiringOrganization":{"@type":"Organization","name":"Articul8","sameAs":"https://articul8.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, CA (HQ)","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Software Engineer III- Test Automation","datePosted":"2025-09-18","description":"

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within Consumer and Community Banking, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's objectives.

Job Responsibilities

Executes software solutions, design, development of test automation frameworks.
Design, develop, and maintain automated test scripts using Selenium WebDriver (with Java, Python, C#, etc.).
Collaborate with QA, development, and business teams to understand requirements and create effective test plans.
Execute automated test cases and analyze results.
Enhance Automation framework and ensure frameworks are reusable and scalable.
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene.
Contributes to software engineering communities of practice and events that explore new and emerging technologies.
Adds to team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Proficiency in test automation tools (e.g., Selenium, JUnit, TestNG).
Experience in designing and developing robust test automation frameworks.
Ability to create efficient, reliable, and reusable test scripts.
Experience in implementing testing strategies early in the development process.
Experience in integrating automated tests into CI/CD workflows.
Experience in using Cucumber for behavior-driven development (BDD) and test automation.
Proven experience in UI automation testing, specifically for Salesforce applications.
Strong ability to write and optimize dynamic XPath expressions for identifying and interacting with web elements.
Ability to triage and debug code to identify and resolve issues in automation scripts and frameworks.
Ability to collaborate with developers to ensure testability of code.

Preferred qualifications, capabilities, and skills

Selenium WeDriver, TestNG, JUnit framework, Salesforce
Exposure to cloud technologies
Ability to identify potential issues early in the development process.
Strong analytical skills to troubleshoot and resolve testing issues.
Knowledge of RESTful and SOAP APIs.
Experience with Agile and DevOps methodologies.
Experience or working knowledge of CRM platforms, particularly Salesforce, is considered an asset.

\n\n

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

\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\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.

\n\n\n

Equal Opportunity Employer/Disability/Veterans

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the ENTERPRISE TECHNOLOGY(EMPLOYEE DIGITAL AND SERVICE EXP), you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems.
Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials.
Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.
Implement data quality checks and validation processes to ensure accuracy and reliability of data.
Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics.
Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform.
Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights.
Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts with 5+ years of applied experience and 7+ years in data engineering, including design, application development, testing, and operational stability.
Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift.
Proficiency in programming languages like Python, Java, or Scala for data processing and application development.
Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile.
In-depth knowledge of the financial services industry and their IT systems.
Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval, utilizing SQL tools such as DML for data handling, DDL for schema management, and PL/SQL for procedural extensions in Oracle databases.
Experience with scheduling tools like Autosys to automate and manage job scheduling for efficient workflow execution.

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

\n\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\n

\n\n

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

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

As a DevOps Engineer at JPMorgan Chase within the Asset and Wealth Management - Workplace Solutions team, you will be based in Plano, Texas, and play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products. Your contributions will ensure these products are secure, stable, and scalable, aligning them with the firm's business objectives.

Job Responsibilities:

Design and build robust infrastructure components to support our technology solutions.
Develop application components using .NET or Java, ensuring high-quality and secure code.
Implement standard software solutions, including design, development, and technical troubleshooting.
Write secure, high-quality code with minimal guidance, considering the impact on upstream and downstream systems.
Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications.
Designing and implementing infrastructure and application components on Azure and AwS.
Leverage tools within the Software Development Life Cycle (SDLC) to enhance automation and value delivery.
Analyze and debug issues, applying problem-solving skills to address technical challenges.
Support deployments and configuration management to ensure smooth operations.
Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.
Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems.

Required Qualifications, Capabilities, And Skills:

Education and Experience: Formal training or certification in software engineering concepts, with 3+ years of applied experience.
System Design and Development: Hands-on experience in system design, application development, testing, and ensuring operational stability.
Programming and Debugging: Experience in developing, debugging, and maintaining code in a corporate environment using modern programming and database querying languages.
Java and API Development: Proficiency in Java, Spring Boot, and API development.
Infrastructure Automation: Experience with Terraform for automating infrastructure tasks.
Cloud Technologies: Hands-on experience with AWS and Azure cloud platforms.
Containerization: Experience with Kubernetes for automating deployments, scaling, and management.
Database Management: Proficiency with SQL databases.
Scripting: Experience with scripting technologies such as Shell and Python.
Software Development Life Cycle: Comprehensive experience across the entire SDLC.
CI/CD and Security: Exposure to Continuous Integration/Continuous Deployment (CI/CD), application resiliency, and security practices.
API Gateways: Knowledge of API gateways and their configuration.

Preferred Qualifications, Capabilities, And Skills:

Mobile Development: Experience in mobile application development.
UI Development: Proficiency in UI development using Angular or React.
Networking: Understanding of networking concepts.

\n\n

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

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Our MissionFilevine is building the seamless intersection between legal and business by creating a world- class platform to help professionals scale.
Role Summary:We are seeking a Senior Product Manager with deep expertise in AI-powered SaaS products to own critical parts of our product roadmap. This role will drive strategy, execution, and delivery of AI features that reshape how legal professionals work.\n

Responsibilities

Define and deliver product vision, strategy, and specifications for AI-driven features and enhancements.
Lead planning and communication of product functionality, user experience, and customer impact—ensuring AI capabilities are intuitive, trusted, and valuable.
Act as a Product Evangelist, championing Filevine’s AI-first vision across teams and to our customers.
Translate complex business and customer needs into clear product requirements, rules, flows, and use cases—especially where AI-driven automation or insights are involved.
Collaborate with engineering, data science, and design to build usable, high-quality AI experiences and working solutions.
Analyze data, customer research, and feedback to identify opportunities where AI can reduce friction, unlock insights, and improve outcomes.
Break down work into incremental user stories with well-defined acceptance criteria and coordinate with engineering to ensure smooth delivery.
Anticipate bottlenecks and prioritize backlog in alignment with both business goals and long-term AI product direction.
Partner closely with other Product Managers and Team Leads to execute against the AI roadmap and broader platform strategy.
Conduct acceptance testing in partnership with QA, engineers, and customers—validating both functional and ethical dimensions of AI features.
Drive zero-to-one product launches, contributing to Filevine’s go-to-market strategy for AI-powered tools.
Mentor Associate and mid-level Product Managers in AI product process, data-driven decision making, and product leadership.

Qualifications

5+ years of product management experience in SaaS, with AI product experience strongly preferred (ML-powered products, NLP, automation, workflow intelligence).
Deep knowledge of software development methodologies and the product lifecycle, with an emphasis on shipping AI/ML features responsibly and at scale.
Strong analytical skills and a data-driven mindset, with the ability to measure AI outcomes (accuracy, efficiency, adoption, trust).
Ability to balance innovation with business outcomes, adapting quickly to changing priorities while keeping long-term vision in focus.
Excellent communication and interpersonal skills—able to translate AI concepts into clear business value.
Experience working in Agile/Lean delivery frameworks, with an emphasis on experimentation and iteration.
A passion for driving efficiency, quality, and measurable value for customers through AI.
Preferred: Experience in Legal Tech or related verticals, or deep familiarity with compliance-heavy industries.
B.S. or M.S. in Computer Science, Engineering, Information Systems, Business, or related field; equivalent certifications or direct work experience considered.

Compensation Information: $150,000 - $175,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Cool Company Benefits:- A dynamic, rapidly growing company, focused on helping organizations thrive - Medical, Dental, & Vision Insurance (for full-time employees)- Competitive & Fair Pay- Maternity & paternity leave (for full-time employees)- Short & long-term disability- Opportunity to learn from a dedicated leadership team- Centrally located open office building in Sugar House (onsite employees)- Top-of-the-line company swag
Privacy Policy NoticeFilevine will handle your personal information according to what’s outlined in our Privacy Policy.","hiringOrganization":{"@type":"Organization","name":"Filevine","sameAs":"https://www.filevine.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}}]}

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Software Engineer III, User Voice AI/ML, gTech

Software Engineer III, Site Reliability Engineering

Software Engineer III, AI/ML GenAI, Google Ads

Software Engineer III, Infrastructure, Search Modalities

Software Engineer III, AI/ML, Labs

Software Engineer III, Mobile (Android), YouTube Shopping

Software Engineer III - .Net + AWS

Software Engineer III - .Net Fullstack + AWS

AI/ML Platform Lead

Software Engineer III Java react

Software Engineer III- Java, AWS

Senior AI/ML Engineer - Oracle Health and AI

Software Engineer III - Python, Databricks, AWS

Software Engineer III - Java, AWS, Terraforms

Software Engineer III - C#

.NET Software Engineer III

Software Engineer III

Software Engineer III - Quartz Team

Software Engineer III

Software Engineer III

Replacement Data Analytics AI/ML

Engagement Lead (AI/ML)

AI/ML Scientist

Senior AI/ML Product Manager (f/m/x) – Indra Program

Hardware Development Engineer AWS AI & ML, Accelerator Servers

SOFTWARE ENGINEER III

AI/ML Public Health Data Scientist

DevOps Software Engineer III (US)

Software Engineer III, Frontend / ReactJS / Node / GQL

Software Engineer III - Cloud Governance , ITC

Conseiller(ère) en prestation de services - AI/ML | Delivery Consultant - AI/ML, ProServe Shared Delivery Team - Data & AI

Software Engineer III

AI/ML Ops Engineer

Conseiller(ère) en prestation de services senior - AI/ML | Senior Delivery Consultant - AI/ML, Professional Services

Software Engineer III

AI/ML Engineer (Dublin, CA)

Software Engineer III- Test Automation

Software Engineer III - Data Engineer/PySpark/AWS/Databricks

Software Engineer III - DevOps Engineer

Senior Product Manager - AI/ML