Full Stack Engineer – Data & AI

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and the role:

eBay’s Research Technology team and help shape the platforms, dashboards, and customer management systems that power insights and decision-making for researchers, designers, and product partners across the company. This team builds the internal applications, APIs, data services, and AI-enabled capabilities that help research and product teams work more effectively with complex data and workflows.

We are seeking a Full Stack Engineer – Data & AI (SE3) for a backend-focused full-stack engineering role with strong emphasis on data engineering, AI/ML, and cloud-native application development. In this individual contributor role, you will own features and systems end to end—from technical design and data modeling through implementation, deployment, monitoring, and continuous improvement. You will work across Python, Java, JavaScript/TypeScript, SQL, relational and NoSQL databases, Docker and Kubernetes, while also helping build intuitive user experiences on top of sophisticated backend and data systems.

This role is ideal for someone who is comfortable working across the stack but brings particular depth in backend systems, data-intensive applications, and applied AI. You will partner closely with research, data science, product, design, and engineering teams to deliver scalable, reliable, and user-friendly tools that support important decisions across eBay.

What you will accomplish:

• Build and ship backend-heavy full-stack applications, APIs, dashboards, and internal tools that enable researchers, designers, and product partners to interact with complex data and AI-powered capabilities in safe and intuitive ways.

• Design and operate production-quality services, pipelines, and data layers that ingest, transform, enrich, and expose structured and unstructured data for internal applications, workflows, and downstream systems.

• Apply machine learning and AI techniques in production by integrating models, enterprise data, tools, and APIs into practical research and product workflows, including agentic and MCP-based capabilities where appropriate.

• Improve the scalability, reliability, security, and observability of cloud-native systems by building, deploying, and operating containerized applications with Docker and Kubernetes.

• Evolve existing codebases and architecture by debugging complex issues, optimizing data access and performance, improving test coverage, and introducing modern backend, data, and AI patterns with minimal disruption to critical workflows.

• Collaborate closely with multi-functional partners across research, data science, product, design, and engineering to shape requirements, evaluate trade-offs, and deliver high-quality production systems while contributing to engineering standard methodologies.

What you will bring:

• 5+ years of professional software engineering experience building and operating production applications or services, with strong experience in backend or full-stack development.

• Strong hands-on programming experience in Python and Java, plus solid JavaScript/TypeScript skills for building backend services, APIs, data applications, and modern web experiences.

• Strong SQL and relational database fundamentals, including schema design, data modeling, indexing, query optimization, and performance tuning, along with experience using NoSQL and embedded databases such as SQLite or DuckDB.

• Experience building and supporting data-intensive systems, including data pipelines, transformation layers, and production services that provide data or analytical capabilities to users and applications.

• Experience working with AI/ML-enabled applications in production, along with hands-on knowledge of RESTful API design, service integrations, Docker, Kubernetes, automated testing, CI/CD, and observability practices.

• Comfort working in existing codebases and ambiguous problem spaces, with the ability to debug unfamiliar systems, communicate clearly with technical and non-technical partners, and translate complex software, data, and AI needs into practical solutions.

#LI-Hybrid

Additional Details

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.