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Site Reliability Engineer - AI Infrastructure
United States
Full Remote
AI Summary
Ensure the stability and resilience of Runpod's distributed platform for AI workloads. Define and implement SLIs/SLOs, lead incident response, and build observability systems. Requires 5+ years of SRE experience with Linux, networking, containerized systems, and scripting (Python, Go, Bash).
Key Highlights
High-impact role central to maintaining trust for over 500,000 developers running critical AI workloads
Own availability, performance, and operational excellence across a global remote-first platform
Receive competitive pay ($150k-$200k), meaningful equity, and generous benefits
Key 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
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Technical Skills Required
Benefits & Perks
Competitive base pay ($150,000 - $200,000 USD)
Meaningful equity (stock options)
Generous medical, dental & vision plans
Flexible PTO
Remote-first work environment
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Nice to Have
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
Job Description
Runpod is the foundational platform for developers to build and run custom AI systems that scale. With over 500,000 developers worldwide and an annual recurring revenue run rate exceeding $120M, Runpod operates at the intersection of developer velocity and production-scale AI. Founded in 2022, we've grown rapidly by building infrastructure purpose-built for modern AI workloads. Our platform enables teams to move from experimentation to deployment with flexibility across cloud, on-prem, and hybrid environments. As a remote-first, globally distributed company, we are building the infrastructure layer that powers the next generation of AI systems.
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