MTS 2, Platform Reliability Engineer
Role Overview
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
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
Key Skills for This Role
Full Job Posting
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
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
- 6+ 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 safely with documented processes
- AI-driven or automated changes are safely deployed with clear guardrails, observability, and rollback mechanism
- Key Traits
- Strong ownership mentality. Calm under pressure. Bias toward automation. Systems thinker who doesn't just fix problems but builds systems that prevent, detect, and autonomously remediate issues over time.
- Additional Details
- 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, veteran status, 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 for people with disabilities.
- We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
About eBay
Global e-commerce leader connecting buyers and sellers worldwide.
Visit company websiteJobs and hiring trendsApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at eBay
Applied Researcher 3
Toronto, CAN
eBay seeks an applied researcher to develop computer vision and multimodal AI solutions, taking research from investigation through production at marketplace scale. The role requires a relevant technical graduate degree
Collaboration Platforms Administrator
Bengaluru, IND
Collaboration Platforms Administrator
Bengaluru, IND
Software Engineer 3 - IOS
Bengaluru, IND
Applied Researcher 3
Toronto, CAN
Senior UX Designer, Marketplace & CX
Bengaluru, IND
Applied Researcher 3 - Staff
Toronto, CAN
Learning Operations Specialist
Bengaluru, IND
AI Engineer - AI & Automation
Bengaluru, IND