RunPod

1 week ago

Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Own reliability for a distributed AI infrastructure platform by defining and operationalizing SLIs/SLOs, improving incident response, and driving production readiness. Build observability and reliability tooling (monitoring, alerting, dashboards) using Prometheus/Grafana, and reduce operational toil through automation and safe CI/CD practices. Partner cross-functionally to strengthen resilience, improve MTTR, and prevent incidents before they impact developers running critical workloads.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Define and implement SLIs/SLOs for critical services and enforce reliability standards
•Lead incident response, coordinate cross-team mitigation, and run blameless postmortems to ensure corrective actions
•Design and improve monitoring, alerting, and dashboards to reduce alert fatigue and improve reliability signal
•Automate recurring operational workflows and build tools/scripts to reduce manual toil and improve deployment safety
•Drive long-term reliability improvements via production readiness reviews and cross-functional reliability advocacy

Pay and Benefits

Salary: USD 150,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityRemote WorkPaid Leave

Key Requirements

•5+ years of experience in SRE, Reliability Engineering, or Production Engineering
•Strong Linux systems and networking expertise
•Experience managing containerized production systems
•Experience defining and managing SLIs/SLOs and understanding distributed systems failure modes
•Proven incident response/postmortem leadership and strong scripting or programming skills

Experience:5+ yearsAI infrastructureDistributed systemsProduction operations

Skills:OwnershipProactive problem solvingAutomation-first thinkingCross-functional collaborationExcellent written communication

Tech Stack:LinuxNetworkingContainerized systemsSLIsSLOsPrometheusGrafanaGPU performanceDistributed systemsPythonGoBashCI/CDSlackInfrastructure as CodeObservability tooling

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

RunPod

Provides on-demand GPU cloud and marketplace services for machine learning workloads, offering rentable GPU instances, scalable compute for training and inference, and tools to run ML jobs cost-effectively without long-term commitments.

Industry: Cloud Computing

Website

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RunPod

1 week ago

Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Define and implement SLIs/SLOs for critical services and enforce reliability standards
•Lead incident response, coordinate cross-team mitigation, and run blameless postmortems to ensure corrective actions
•Design and improve monitoring, alerting, and dashboards to reduce alert fatigue and improve reliability signal
•Automate recurring operational workflows and build tools/scripts to reduce manual toil and improve deployment safety
•Drive long-term reliability improvements via production readiness reviews and cross-functional reliability advocacy

Pay and Benefits

Salary: USD 150,000 - 200,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityRemote WorkPaid Leave

Key Requirements

•5+ years of experience in SRE, Reliability Engineering, or Production Engineering
•Strong Linux systems and networking expertise
•Experience managing containerized production systems
•Experience defining and managing SLIs/SLOs and understanding distributed systems failure modes
•Proven incident response/postmortem leadership and strong scripting or programming skills

Experience:5+ yearsAI infrastructureDistributed systemsProduction operations

Skills:OwnershipProactive problem solvingAutomation-first thinkingCross-functional collaborationExcellent written communication

Tech Stack:LinuxNetworkingContainerized systemsSLIsSLOsPrometheusGrafanaGPU performanceDistributed systemsPythonGoBashCI/CDSlackInfrastructure as CodeObservability tooling

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

RunPod

Industry: Cloud Computing

Website