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Distributed Systems Engineer

Fluidstack· Production Engineering
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San Francisco, CA, New York, NY, Austin, TX, Seattle, WA$208k - $269k + equityFull-timePosted 3mo ago

About the role

Role focused on building and operating Fluidstack's observability, API surface for infrastructure, and production control plane for hyperscale fleet; ownership of fleet state, hardware onboarding, and end-to-end platform correctness.

Responsibilities

  • Own the observability platform. Build and operate the data pipelines, decoration and correlation engine, and healthcheck framework that make the fleet legible — from site down to device and link.
  • Define and build the API surface for infrastructure. Design the contracts between production infrastructure and every tool that touches it. All other teams at Fluidstack use your tooling to manage and operate our hyperscale fleet.
  • Build the production control plane. Unified machine management, actual state inspection, distributed command execution — and the Kubernetes-based infrastructure that underpins it all.
  • Own fleet state as source of truth. SLOs, site lifecycle state, and integration with internal infrastructure management and customer-facing operations platforms.
  • Land new hardware into the platform cleanly. ZTP, DHCP, DNS, artifacts — every new XPU generation and site integration goes through IaaS before production.

Qualifications

  • You treat toil as a bug. If something requires a human to do it twice, you build the thing that makes it not require a human.
  • You design APIs that age well. You've felt the pain of a leaky abstraction at scale and you don't repeat it.
  • You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
  • You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
  • You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
  • You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
  • You've shipped production services that other teams depend on at scale, and you're comfortable in any language using AI coding tools.
  • Bonus: Distributed systems and data pipeline engineering. Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics). API design and versioning at scale. Workflow and orchestration engines (Temporal, Cadence). BMC/Redfish or hardware telemetry. Go, Python, and Postgres.

Skills

Required:Observability platform design and implementationAPI design and versioning for infrastructureProduction control planeFleet state management and source of truthHardware onboarding and site integration

Benefits

  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.
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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