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FluidStack

Builds and runs GPU clusters for AI labs

Software Engineer - Cloud Infrastructure

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

About the Job

Requirements

  • Treat recurring manual toil as an automation opportunity.
  • Design APIs with durable abstractions that work at scale.
  • Move toward ambiguity, build understanding, and communicate it to others.
  • Learn unfamiliar domains quickly and reach practical competence.
  • Carry a pager, lead incidents, write postmortems, and fix systemic causes.
  • Use AI tools fluently, including LLM APIs, MCP servers, and agentic frameworks, and use Claude Code, Cursor, or similar tools regularly.
  • Have shipped production services used by other teams at scale and be comfortable working in any programming language using AI coding tools.

Responsibilities

  • Build and operate observability data pipelines, a decoration and correlation engine, and a health-check framework for fleet monitoring from site to device and link.
  • Design and build APIs that production infrastructure and internal tools use to manage and operate the fleet.
  • Build the production control plane, including unified machine management, state inspection, distributed command execution, and Kubernetes-based infrastructure.
  • Own fleet state as a source of truth, including SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms.
  • Integrate new hardware into the platform, including ZTP, DHCP, DNS, and artifacts, before production deployment.

Desired Qualifications

  • Experience with distributed systems and data pipeline engineering.
  • 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 BMC/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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