Platform Reliability Engineer (SRE)

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.

We're looking for an Platform Reliability Engineer to own the reliability, operability, and evolution of our internal engineering platform. This is a hands-on role at the intersection of platform engineering, reliability, and intelligent automation with a clear mandate: reduce toil, improve observability, and enable systems (AI agents) to safely operate at scale. You'll work directly with engineering teams to harden services, respond to incidents, and build automation that makes the platform increasingly self-managing over time. A key aspect of this role is designing and operating AI-driven and agent-based workflows , including the guardrails, validation systems, and observability needed to allow automated systems to safely generate and act on changes in production environments.

Own reliability, availability, and performance of the internal platform and critical services Participate in on-call rotations; lead incident triage, debugging, root cause analysis, and post-mortems Build and operate platform automation and AI-powered workflows (including agent-based systems) to reduce manual operational effort Design and implement guardrails, validation pipelines, and safety mechanisms for automated and AI-generated changes to code and infrastructure Enable closed-loop automation systems (detect → diagnose → remediate → validate) to improve system resilience Define and track SLIs and SLOs; use reliability data to guide engineering decisions Standardize build, deployment, and release workflows for safe, predictable delivery, including automation-friendly and AI-integrated pipelines Identify and remediate security vulnerabilities across systems and services, including risks introduced by automated changes Partner with development teams on service design, resilience, and operability, with an emphasis on automation-first and AI-compatible system design Required Qualifications 5+ years of experience operating production platforms or large-scale distributed systems Proven track record in incident management, on-call operations, and production debugging Strong programming skills in Java, Python, Go, Shell, or equivalent Hands-on experience with observability tooling (monitoring, alerting, logging, tracing) Experience building or maintaining CI/CD pipelines and release processes Familiarity with platform upgrades, dependency management, and system lifecycle operations Experience building or integrating AI-driven (agent-based) automation frameworks, or strong interest in this space Working knowledge of Linux-based production environments Strong communication and cross-team collaboration skills Nice to Have Experience with SRE frameworks: SLOs, error budgets, reliability reviews Experience with chaos engineering or resilience testing Background in building self-healing systems History of driving platform standardization across large engineering organizations What Success Looks Like at 6 Months Platform reliability metrics are tracked, visible, and trending in the right direction On-call burden is measurably reduced through automation and better runbooks At least one significant automation or autonomous remediation initiative shipped and adopted by engineering teams Platform upgrades and rollouts are executed