JOB DESCRIPTION

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

The Unified Feature Store (UFS) team at eBay, part of the Golden DataSet Platform (GDS) initiative, is building the next generation of eBay's AI and decisioning platform. We are developing a declarative, self-service platform that enables engineers to define, discover, compute, validate, and serve features consistently across both training and real-time inference. Our mission is to eliminate feature duplication, ensure training-serving parity, and provide reliable, scalable, and low-latency feature infrastructure that powers fraud detection, payments, search, personalization, and other mission-critical experiences across eBay.

About the Role

We are seeking a Staff Software Engineer to help shape the architecture and technical direction of eBay's Unified Feature Store. In this role, you will design and build the distributed systems that power feature computation, storage, serving, and lifecycle management at massive scale. Your work will directly improve developer productivity, accelerate AI model delivery, and establish UFS as the single source of truth for feature engineering across eBay.

While familiarity with feature stores, stream processing, and data infrastructure is valuable, your primary focus will be on building the distributed platform itself, solving challenging problems in scalability, consistency, reliability, and low-latency serving.

If you're passionate about large-scale distributed systems, backend infrastructure, platform architecture, and solving hard scalability problems,



this is the right team for you.

What You'll Accomplish

- Design and build large-scale distributed services that power eBay's AI and decisioning infrastructure.

- Develop platform services for stream processing, state management, feature serving, and distributed computation.

- Solve challenging distributed systems problems involving scalability, fault tolerance, exactly-once processing, and high-throughput data processing.

- Build reusable frameworks, platform libraries, and self-service tooling to improve developer productivity.

- Contribute to architectural decisions around reliability, performance, consistency, partitioning, and operational excellence.

- Improve observability, monitoring, incident response, and production reliability for critical platform services.

- Optimize performance, capacity, and cost efficiency across distributed systems.

- Develop automation that simplifies deployment, debugging, and operational workflows.

- Collaborate with engineering, product, and infrastructure teams to deliver scalable platform capabilities.

- Mentor junior engineers, participate in design reviews, and contribute to engineering best practices.

- Identify and address technical debt, performance bottlenecks, and reliability improvements.

What You Bring

- BS/MS in Computer Science, Computer Engineering, or a related field with 8+ years of industry experience building distributed systems or platform infrastructure.

- Experience designing and operating high-throughput, low-latency, production-grade distributed services.

- Strong understanding of distributed systems fundamentals, including partitioning, replication, consistency, concurrency, idempotency, and failure recovery.

- Solid software engineering skills in Java, Python, Go or similar languages.

- Experience building platform services, APIs, frameworks,



or runtime infrastructure.

- Hands-on experience with Kafka, Flink, Spark, RDBMS/NoSQL.

- Experience operating production systems, including observability, performance tuning, debugging, incident response, and on-call ownership.

- Ability to balance correctness, reliability, performance, and developer productivity when designing systems.

- Experience contributing to system design, backward-compatible migrations, and safe production rollouts.

- Strong communication, collaboration, and mentoring skills, with the ability to influence technical decisions within the team.

Additional Details

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

C$142,400 - C$190,100

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.

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📌 Staff Software Eng. I - Data Platform (Canada)
🏢 eBay
📍 Canada