Full Stack Engineer – Data & AI

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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:

eBays 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 this individual contributor role you will own features and systems end to endfrom 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 you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility.

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