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Site Reliability Engineer

STN Inc

Location
Remote (San Francisco Bay Area, California)
Employment
Full-time
Level
Senior Level
Posted 3 weeks ago

About the Role

STN Inc is seeking a Site Reliability Engineer to own the reliability and observability of their GPUaaS platform. This role involves ensuring service level objectives are met and leading incident response for a critical platform shared across customers.

Skills

Go Python Kubernetes Prometheus Grafana Datadog OpenTelemetry Incident Management SLO/SLA Management Chaos Engineering Observability Automation

Perks

  • Remote OK

Full job details

Site Reliability Engineer

Platform and software · shared across customers

Reports to: Director, Site Reliability

Location: Remote (US)

Department: Cloud Platform Engineering / SRE/Reliability

Position summary

The Site Reliability Engineer (SRE) owns reliability, observability, and incident response for the GPU One (GPUaaS) platform. The SRE defines and enforces SLOs aligned with contractual SLAs, builds the observability stack, and leads major incidents to resolution.

Key responsibilities

  • Define and operate Service Level Objectives (SLOs) aligned with customer SLAs

  • Build and maintain the observability stack including metrics, logs, traces, and alerting

  • Lead incident response and chair post-incident reviews

  • Drive automation to reduce toil and improve mean-time-to-recover (MTTR)

  • Author and maintain operational runbooks alongside the NOC

  • Manage on-call rotation, escalation paths, and incident-management tooling

  • Coordinate cross-functionally with NOC, Platform Engineering, and Network Engineering

  • Drive chaos engineering, game days, and reliability testing programs

  • Produce SLA performance reports in coordination with the SLA Manager

  • Mentor junior engineers and contribute to engineering culture

Required qualifications

  • 5+ years in SRE, DevOps, or production engineering roles

  • Strong programming skills in Go, Python, or both

  • Hands-on experience operating Kubernetes-based platforms at scale

  • Deep familiarity with observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)

  • Strong incident management experience including major-incident command

Preferred qualifications

  • GPU or HPC platform operational experience

  • Familiarity with SLA-driven customer environments and credit calculations

  • Experience with chaos engineering tools (Gremlin, Litmus, or similar)

  • Published SRE content or contributions