Site Reliability Engineer

Runpod is the AI Developer Cloud, serving over a million developers with a platform for AI experimentation and deployment. The Site Reliability Engineer will ensure the stability and resilience of Runpod’s distributed platform, focusing on reliability frameworks, automation, and incident response processes.

Responsibilities:

• Define and implement SLIs/SLOs for critical services
• Lead incident response and coordinate cross-team mitigation efforts
• Conduct blameless postmortems and ensure corrective actions are completed
• Perform production readiness reviews for new services and features
• Identify systemic risks and drive preventative improvements
• Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.)
• Improve signal-to-noise ratio in alerts and reduce alert fatigue
• Build internal tooling for reliability tracking and reporting
• Improve visibility into GPU performance and distributed systems health
• Automate recurring operational workflows
• Build tools and scripts (Python, Go, Bash) to eliminate manual processes
• Improve deployment safety through automation and guardrails
• Strengthen CI/CD reliability and release processes
• Partner with engineering teams to improve system resilience
• Provide guidance on fault tolerance, scalability, and failure handling
• Contribute to architectural discussions with a reliability-first mindset

Requirements:

• 5+ years of experience in SRE, Reliability Engineering, or Production Engineering
• Strong Linux systems and Networking expertise
• Experience managing containerized production systems
• Strong understanding of distributed systems and failure modes
• Experience defining and managing SLIs/SLOs
• Proven incident response and postmortem leadership experience
• Strong scripting or programming skills
• Experience with monitoring and alerting systems
• Excellent written communication skills
• Successful completion of a background check
• Experience with GPU infrastructure or AI/ML platforms
• Experience improving reliability in high-growth or large scale environments
• Familiarity with GPU observability tooling
• Experience with Infrastructure as Code
• Experience working in startup environments
• Experience building internal reliability platforms or frameworks