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Customer Reliability Engineer

Fluidstack· Production Engineering
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San Francisco, CA, New York, NY, Austin, TX, Seattle, WA$173k - $224kFull-timePosted 3mo ago

About the role

Role focused on owning reliability for named customer workloads, debugging across full stack from hardware to fabric to scheduler, and communicating incident updates with customers. Part of Fluidstack’s Production Engineering team building large-scale AI compute infrastructure.

Responsibilities

  • Own reliability for named customer workloads: their clusters, their SLAs, their escalations.
  • Debug across the full stack, hardware to fabric to scheduler, when a training run degrades.
  • Run customer-facing incident communication with technical depth and no spin.
  • Turn recurring customer pain into engineering fixes with the production teams.

Qualifications

  • 5+ years of applied industry experience.
  • You've supported large-scale compute customers (HPC, cloud, or AI labs) at a technical level.
  • You debug distributed systems methodically across layers you don't own.
  • You've written incident updates customers trusted more after reading.
  • You push internal teams to fix causes, not symptoms, and follow up until they do.

Skills

Required:Applied industry experienceLarge-scale compute supportDistributed systems debugging
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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