# Production Engineer, IaaS

**Company:** [Fluidstack](https://hotfix.jobs/companies/fluidstack)
**Location:** San Francisco, CA, New York, NY, Austin, TX, Seattle, WA
**Role:** DevOps / SRE
**Salary:** $175k – $300k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, Prometheus, Go, Python, Postgres, Temporal, Distributed Systems, Observability, API Design, Bmc/Redfish
**Posted:** 2026-06-09

> Own observability, API surface, and control plane for a hyperscale AI compute fleet. Build production-grade data pipelines, stateful APIs, and Kubernetes infrastructure that other teams depend on.

## Job Description

## Responsibilities
- Own the observability platform: build and operate 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 contracts between production infrastructure and every tool that touches it
- 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

## Requirements
- Treat toil as a bug: if something requires a human to do it twice, build the thing that makes it not require a human
- Design APIs that age well; avoid leaky abstractions at scale
- Move toward ambiguity, build the map, and explain it to everyone else
- Learn at a steep slope and reach real competence in unfamiliar domains fast
- Carry a pager without flinching; run incidents, write postmortems, fix systemic causes
- Fluent with AI tooling: LLM APIs, MCP servers, agentic frameworks; drive Claude Code, Cursor, or similar daily
- Shipped production services that other teams depend on at scale; comfortable in any language using AI coding tools

## Nice-to-Haves
- 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

## Similar roles

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**Apply:** https://hotfix.jobs/jobs/efb8c3c6-8c7d-4852-8ea4-20500c272d8c
**Canonical:** https://hotfix.jobs/jobs/efb8c3c6-8c7d-4852-8ea4-20500c272d8c