Fluidstack
Site Reliability Engineer, Compute
$208K–$269K
San Francisco, CA +3 · On-site · Full-time · Posted Jul 20, 2026
- Location
- San Francisco, CA
New York, NY
Austin, TX
Seattle, WA
About the job
Build and operate fleet-wide reliability, observability, repair automation, and GPU qualification systems for large-scale compute infrastructure.
What you'll do
- Own compute fleet health metrics, alerting, and unified health views across Kubernetes workloads and bare metal.
- Automate compute-failure detection, triage, parts management, repair, and return to service.
- Build GPU qualification systems and own Redfish/BMC tooling for telemetry and fleet-scale log collection.
What they ask for
- Experience shipping production automation used by other teams.
- Comfort reasoning about hardware failure modes at the firmware and silicon level.
- Ability to carry a pager, lead incidents, write postmortems, and address systemic causes.
- Fluency with AI tooling, including LLM APIs, MCP servers, and agentic frameworks; daily use of Claude Code, Cursor, or similar.
Nice to have
- Hardware lifecycle management and RMA automation; BMC/Redfish or IPMI tooling; GPU qualification or burn-in frameworks.
- Workflow/orchestration engines, metrics and alerting pipelines, Go, or Python.
Pay
$208K – $269K USD total compensation; equity offered
Tools
Kubernetes, Redfish, BMC, IPMI, Temporal, Cadence, Prometheus, Grafana
AI focus
Build and operate compute infrastructure for AI; use AI coding tools and work with LLM APIs, MCP servers, and agentic frameworks.
Model-written summary · the original posting is authoritative