Product Engineer, Data Center Automation

New York, NYfull timeOn Site

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$224k–$300k

H1B: no

Fluidstack Product Engineer at Fluidstack building fleet health systems and automating repair workflows for data center hardware. Develop real-time telemetry and healthchecks across Kubernetes and bare metal.

Responsibilities

Build fleet health system with real-time telemetry and tiered healthchecks
Correlate alarms into incidents with drafted probable causes
Turn repair and RMA into generated work flows
Ship hardware qualification as software including burn-in and performance baselining

Qualification

The below is a starting pointYou've shipped production code in GoYou identify problemsBonus

Required

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
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.