Site Reliability Engineer, Compute

Job Overview

Fluidstack is seeking a Site Reliability Engineer, Compute to join our Production Engineering team. We exist to make humanity more free by delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators.

Role Scope

• Own compute fleet health end to end. Build the metrics pipelines, alerting, and unified health view that tell you the true state of every GPU in production — across Kubernetes-orchestrated workloads and bare metal, at scale.


• Turn deployment/repair into a pipeline, not a procedure. Build and own the automation that takes a compute failure from detection through triage, parts management, and return to service. No one-off scripts, no heroics.


• Design and expand the GPU qualification platform. Burn-in, performance baselining, and NPI execution for every new GPU generation. You define what \"good\" looks like before hardware goes into production.


• Own Redfish and BMC tooling. Firmware-level telemetry, log collection at fleet scale, and the low-level access layer that repair automation and health tooling depend on.


• Own end-to-end reliability, scalability, and operation of the compute fleet at-scale. Fluidstack is building one of the largest GPU fleets in the world and that can only be accomplished with aggressive automation, tooling, and incident discipline.

What We're Looking For

• You treat toil as a bug. Manual steps in a repair workflow are a backlog item, not a job description.


• You have an instinct for hardware. You're comfortable reasoning about failure modes at the firmware and silicon level, not just the software stack above it.


• You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.


• You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.


• You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.


• You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.


• You've shipped production automation that other teams depend on, and you're comfortable in any language using AI coding tools.


• Bonus: Hardware lifecycle management and RMA automation. BMC/Redfish or IPMI tooling. GPU qualification or burn-in frameworks. Workflow and orchestration engines (Temporal, Cadence). Metrics and alerting pipelines (Prometheus, Grafana). Go or Python...

Salary & Benefits

Competitive total compensation package (salary + equity).

Retirement or pension plan, in line with local norms.

Health, dental, and vision insurance.

Generous PTO policy, in line with local norms.

The base salary range for this position is $175,000 - $300,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form