Production Engineering Lead, Compute

Fluidstack

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience leading SRE or production engineering teams managing large fleets.
  • Demonstrated ability to improve availability metrics and articulate the process.
  • Expertise in shipping automation for remediation that phases out manual runbooks.
  • Proven track record of hiring and mentoring high-performing engineers.
  • Familiarity with GPU or HPC fleets and orchestration tools like Kubernetes or Slurm is a plus.

Responsibilities

  • Lead the production engineering team to manage and optimize a large fleet of GPUs.
  • Define and maintain service level objectives (SLOs) for compute fleet availability.
  • Develop automation for full node lifecycle management, ensuring minimal human intervention.
  • Implement an on-call and escalation model focused on sharp response while preventing team burnout.
  • Create tools to monitor and enhance fleet health and performance.

Benefits

  • Commitment to pay equity and transparency.
  • Opportunities for professional growth within an innovative engineering team.
Full Job Description
Role Scope
  • Lead the compute production engineering team keeping tens of thousands of GPUs serving customers.
  • Own fleet availability for compute: define the SLOs, build the tooling, and move the number.
  • Build automation for the node lifecycle, provisioning, health checks, remediation, return to service, without human touch.
  • Set the on-call and escalation model that keeps response sharp without burning the team out.

What We're Looking For

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 led SRE or production engineering teams running large fleets.
  • You've moved an availability number and can explain exactly how.
  • You've shipped automated remediation that retired a runbook.
  • You hire and grow strong engineers, and they say so.
  • Bonus: GPU or HPC fleets. Kubernetes or Slurm. Hardware failure analytics. Customer-facing reliability.


We are committed to pay equity and transparency.

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