Site Reliability Engineer

🕒 4 days ago

🏄 California – Remote

🏄 California – Remote

💵 $150k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Runpod

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $20M Seed on 2024-06

Artificial Intelligence • SaaS • B2B

Runpod is a cloud platform that provides on-demand GPU compute and managed infrastructure tailored for AI development and deployment. It offers GPU "Pods" across 31 global regions, serverless GPU endpoints for low-latency inference, multi-node GPU clusters for distributed training, and a hub for deploying open-source models and templates. Runpod emphasizes fast startup (sub-200ms cold starts), autoscaling from zero to thousands of workers, support for 30+ GPU SKUs, and tooling for the full AI lifecycle from experiment to production, targeting developers and enterprise AI teams.

📋 Description

• 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.) • Build internal tooling for reliability tracking and reporting • Automate recurring operational workflows • 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. • Preferred: 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.

🏖️ Benefits

• Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. • Generous medical, dental & vision plans • Flexible PTO- take the time you need to recharge • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.