Decision Engineer, Compute Operations
New York, NY, San Francisco, CA, Austin, TX, Seattle, WA$224k - $300kFull-timePosted 3mo ago
About the role
Role focused on building and operating a unified, automated compute operations platform for frontier AI infrastructure, including incident management, failure-to-service workflows, shift automation, and operator tooling across multiple sites.
Responsibilities
- Build incident management for physical assets: related alarms roll up into a single incident that reaches on-call with a probable cause already drafted, so work goes out the moment an alert lands. Root cause analysis traces every failure to the asset behind it, and on-call rotations run from the same system.
- Close the loop from failure to return to service: failure thresholds route machines to repair automatically. Each one is triaged, a spare is pulled from the warehouse and scanned at the swap, and the broken part goes back to the vendor on an RMA.
- Sequence and staff every job: each job runs as ordered steps, and the system checks one step is done before the next starts. Shift scheduling finds who is available, and each production engineer's shift todo list is automatically generated for them.
- Run the facility on a unified system: one asset register covers every piece of equipment across IT and facilities, and the CMMS schedules preventive maintenance, issues work orders, and runs lockout tagout. Roll it out from one live site to every site, retiring the legacy DCIM tooling on the way.
- Build tools anyone in front of a rack can use: operator tooling simple enough that anyone off the street knows exactly what to do. Scan this part of the rack, in this order, and the tool spots any mistakes. Every runbook becomes a guided, verified workflow.
Qualifications
- You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands.
- 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 technicians and operators call obvious, and workflows that match how the work actually happens.
Skills
Required:GoPythonTypeScript
Benefits
- Competitive total compensation package (cash + equity)
- Health, dental, and vision insurance
- Retirement plan
- Generous PTO policy
Last updated Oct 13, 2026. Interested? Apply on the company site.
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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