FluidStack

2 weeks ago

Site Reliability Engineer, Compute

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Own compute fleet health end to end for an AI infrastructure platform, building metrics pipelines, alerting, and unified visibility across Kubernetes-orchestrated workloads and bare metal. Turn deployments and repairs into automated pipelines covering detection, triage, parts management, and return to service. Expand GPU qualification and burn-in workflows, and operate low-level reliability tooling built on Redfish and BMC telemetry—at hyperscale speeds.

Location: San Francisco, New York, Austin, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Own compute fleet health end to end by building metrics pipelines, alerting, and a unified health view for every GPU in production.
•Automate compute deployments and repairs into a pipeline covering detection, triage, parts management, and return to service.
•Design and expand the GPU qualification platform, including burn-in, performance baselining, and NPI execution.
•Own Redfish and BMC tooling, including firmware-level telemetry and fleet-scale log collection.
•Ensure end-to-end reliability, scalability, and operation of the compute fleet at large scale, with disciplined incident operations.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually

Equity and Bonus:Equity

Perks:PensionHealth InsuranceDentalVisionPaid Leave

Key Requirements

•Treat toil as a bug and eliminate manual steps in repair workflows.
•Be comfortable reasoning about hardware failure modes at the firmware and silicon level.
•Navigate ambiguity: build understanding and explain it to others.
•Carry a pager, run incidents, write postmortems, and fix systemic causes.
•Be fluent with AI tooling (LLM APIs, MCP servers, agentic frameworks) and use Claude Code, Cursor, or similar daily.

Skills:Extreme ownershipFirst-principles thinkingIncident managementContinuous learning

Tech Stack:KubernetesBare metalRedfishBMCIPMIFirmware telemetryLLM APIsMCP serversAgentic frameworksClaude CodeCursorTemporalCadencePrometheusGrafanaGoPython

Company Brief

FluidStack

Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor

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FluidStack

2 weeks ago

Site Reliability Engineer, Compute

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Austin, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Own compute fleet health end to end by building metrics pipelines, alerting, and a unified health view for every GPU in production.
•Automate compute deployments and repairs into a pipeline covering detection, triage, parts management, and return to service.
•Design and expand the GPU qualification platform, including burn-in, performance baselining, and NPI execution.
•Own Redfish and BMC tooling, including firmware-level telemetry and fleet-scale log collection.
•Ensure end-to-end reliability, scalability, and operation of the compute fleet at large scale, with disciplined incident operations.

Pay and Benefits

Salary: USD 175,000 - 300,000 annually

Equity and Bonus:Equity

Perks:PensionHealth InsuranceDentalVisionPaid Leave

Key Requirements

•Treat toil as a bug and eliminate manual steps in repair workflows.
•Be comfortable reasoning about hardware failure modes at the firmware and silicon level.
•Navigate ambiguity: build understanding and explain it to others.
•Carry a pager, run incidents, write postmortems, and fix systemic causes.
•Be fluent with AI tooling (LLM APIs, MCP servers, agentic frameworks) and use Claude Code, Cursor, or similar daily.

Skills:Extreme ownershipFirst-principles thinkingIncident managementContinuous learning

Tech Stack:KubernetesBare metalRedfishBMCIPMIFirmware telemetryLLM APIsMCP serversAgentic frameworksClaude CodeCursorTemporalCadencePrometheusGrafanaGoPython

Company Brief

FluidStack

Industry: Cloud Computing

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2017

Glassdoor: 4.7

Website LinkedIn Glassdoor