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FluidStack

Builds and runs GPU clusters for AI labs

Distributed Systems Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Experience shipping production services that other teams depend on at scale, and comfort working in any programming language using AI coding tools.
  • Fluency with AI tooling, including large language model APIs, Model Context Protocol servers, and agentic frameworks, and daily use of Claude Code, Cursor, or similar tools.

Responsibilities

  • Build and operate data pipelines, a decoration and correlation engine, and a healthcheck framework for fleet observability across sites, devices, and links.
  • Design API contracts between production infrastructure and the tools used to manage and operate the fleet.
  • Build a production control plane for unified machine management, state inspection, and distributed command execution, along with its Kubernetes-based infrastructure.
  • Own fleet state as a source of truth, including service-level objectives, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms.
  • Integrate new hardware into the platform using zero-touch provisioning, Dynamic Host Configuration Protocol, Domain Name System, and artifacts.

Desired Qualifications

  • Distributed systems and data pipeline engineering experience.
  • Experience with time-series observability stacks such as Prometheus, Thanos, and VictoriaMetrics.
  • Experience with API design and versioning at scale.
  • Experience with workflow and orchestration engines such as Temporal and Cadence.
  • Experience with Baseboard Management Controller, Redfish, or hardware telemetry.
  • Experience with Go, Python, and Postgres.

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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