Site Reliability Engineer

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

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

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

Compensation & Benefits

• Competitive base pay ranging from $150,000 - $200,000 USD (may be narrowed based on experience, qualifications, and location)
• Meaningful equity in a fast-growing company (stock options for everyone)
• Generous medical, dental & vision plans
• Flexible PTO
• Remote-first work with collaborative team using Slack