Site Reliability Engineer

🕒 May 22

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RunPod

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

💰 Seed Round on 2024-05

Artificial Intelligence • Cloud Computing • SaaS

RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.

📋 Description

• 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 • 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.

🏖️ 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.