MTS 1, Platform Reliability Engineer

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 Role

We're looking for a 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.

What You'll Do

- 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