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 Role

eBay’s Cloud Security Engineering team is building the next generation of identity and access platforms that secure one of the world’s largest commerce ecosystems.

Our distributed systems power millions of users, services, and transactions every day and are foundational to eBay’s trust, security, and reliability. As a Distributed Systems Engineer, you’ll design and build cloud-scale directory services, authorization platforms, and policy engines that enable secure, real-time access decisions across human and non-human identities.

We’re looking for engineers who combine deep distributed systems expertise with an AI-first engineering mindset. You view AI as a force multiplier—accelerating software development, improving system reliability, automating repetitive tasks, and enabling smarter operational decisions. You’ll help evolve traditional identity systems into intelligent, adaptive platforms while shaping how AI is responsibly integrated into the engineering lifecycle.

What You’ll Accomplish

• Design and build cloud-scale directory services that manage identities, entitlements, and relationships across eBay’s global platform.
• Develop high-performance policy engines and low-latency authorization services supporting fine-grained access control (RBAC, ABAC, PBAC) for millions of real-time requests.
• Build resilient APIs and microservices that are secure, observable, scalable, and easy for partner teams to integrate.
• Leverage AI-assisted engineering throughout the software development lifecycle to improve design, coding, testing, debugging, documentation, and operational efficiency.
• Integrate AI-driven capabilities into identity and authorization platforms to improve policy intelligence, anomaly detection, operational insights, and adaptive access decisions.
• Build highly observable services with automated deployment, monitoring, and incident response using modern cloud-native engineering practices.