Site Reliability Engineer - Runpod

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions.

Your Impact

• Increase platform uptime and reduce incident frequency and duration
• Establish and operationalize SLIs/SLOs across services
• Improve MTTR through better tooling, automation, and runbooks
• Strengthen production readiness standards
• Drive long-term systemic reliability improvements

Responsibilities

Reliability Engineering

• 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

Observability & Monitoring

• 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

Automation & Toil Reduction

• 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

Cross-Functional Reliability Advocacy

• 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

Preferred Qualifications

• 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