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Software Engineer, Data Center Automation

Fluidstack· Acceleration
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New York, NY$224k - $300kFull-timePosted 3w ago

About the role

Role focused on building and operating a fleet health and automation system for data centers to enable rapid, scalable deployment of AI infrastructure.

Responsibilities

  • Build the fleet health system: real-time telemetry and tiered healthchecks on every machine across Kubernetes and bare metal, rolled into one API the whole company trusts to answer "is this machine healthy," with alarms correlated into incidents that reach on-call with a drafted probable cause.
  • Turn repair and RMA into generated work: one tracked flow from failure detection through triage, parts, vendor return, and return to service, where failure thresholds route machines to repair automatically, each production engineer's shift todo list is generated for them, and time to return to service is a number the system reports.
  • Ship hardware qualification as software: burn-in, performance baselining, and new hardware validation composed into rack-level workflows, so bringing thousands of accelerators online is a repeatable run and every machine enters production with its acceptance evidence attached in the graph.
  • Run the facility on the same system as the fleet: the maintenance system for lockout tagout and work orders is live at one site and rolls out to two more, every asset register loads before the first external audit this fall, and the legacy datacenter inventory retires before the next building energizes. You own the asset model, the migration, and the day the old tools switch off.
  • Turn every runbook into a checked procedure: SOPs, training records, and technician qualifications become structured data the customer can audit, and site SLOs, deployment cycle time, and labor ramp report themselves on the dashboards a hyperscaler customer asked for. You work forward-deployed beside production engineers and facility operators, on site and on the rotation, and build what they use the next shift.

Qualifications

  • You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands.
  • You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks.
  • You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you.
  • You identify problems, design the solution, and ship it without waiting for direction or approval.
  • You've moved fast under deadline while leaving foundations that other engineers extended after you moved on.
  • You've sat the on-call rotation or worked beside the people who do, and you've turned operational pain into systems that made the pager quieter.
  • Your product taste shows in what you've shipped: interfaces the engineers on the rotation call obvious, and workflows that match how the work actually happens.
  • Bonus: Production engineering or SRE on large GPU fleets. Hardware qualification or burn-in frameworks. BMC, Redfish, or IPMI tooling. CMMS, DCIM, or asset management systems. BMS/EPMS or SCADA. Prometheus and Grafana.

Benefits

  • Competitive total compensation package (cash + equity)
  • Health, dental, and vision insurance
  • Retirement plan
  • Generous PTO policy
Last updated Oct 6, 2026. Interested? Apply on the company site.
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About Fluidstack

Fluidstack builds civilization-scale infrastructure for AI

Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.

AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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