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FluidStack

Builds and runs GPU clusters for AI labs

Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$224k - $275k /yrRemote

About the Job

Requirements

  • You have built infrastructure as code that other people deploy from, with the systems created by your pipeline outnumbering those built by following a runbook.
  • You have automated work you previously performed manually and can identify what the team stopped doing as a result.
  • You have owned CI/CD for infrastructure rather than applications, including how a bad change is caught and rolled back.
  • You have automated Windows fleets.
  • You have kept an on-call rotation sustainable by removing causes rather than writing more runbooks.
  • You write production code and review other people's code.
  • You have built tooling for non-engineers that they use rather than work around.

Responsibilities

  • Build infrastructure as code that deploys a site's entire security platform, making campus onboarding a pipeline run rather than a project.
  • Own CI/CD and the release path for the security stack so every change reaches production tested, versioned, and reversible.
  • Automate remediation the team would otherwise perform manually, and ensure repeated work is converted into code.
  • Build the package and patch pipeline that keeps a growing fleet current without manual host-by-host intervention.
  • Put automation in place ahead of the platform it serves so on-call remains manageable as campuses multiply.

Desired Qualifications

  • Infrastructure as code tools such as Terraform, Ansible, and PowerShell DSC.
  • CI/CD for infrastructure using GitHub Actions or GitLab CI.
  • Windows package and patch automation using Chocolatey, WSUS, or Intune.
  • Observability and alerting using Prometheus or Grafana.
  • Physical security or building systems platforms such as Genetec Security Center, access control, or IoT device fleets.

About the Company

FluidStack

Builds and runs GPU clusters for AI labs

Fluidstack provides large clusters of GPU servers to AI labs training advanced models, and it builds custom data centers for customers that outgrow existing facilities. In 2025, Anthropic chose Fluidstack to build data centers in Texas and New York as part of a $50 billion investment in American AI infrastructure. Labs pay for dedicated clusters of Nvidia GPUs, sometimes tens of thousands of chips, housed in partner data centers around the world. They reach the clusters through a web console or API, while Fluidstack runs the hardware, networking, and day-to-day operations. Fluidstack was founded in London in 2017 and has its headquarters in New York.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$12.4B
Headquarters
New York City, New York
Founded
2017

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