Production Engineer, IaaS
Fluidstack4 months ago
Base Salary
$208k - $269k/yr
Responsibilities
- Own the fleet observability platform, including data pipelines, telemetry decoration and correlation, and healthcheck frameworks.
- Define and build versioned infrastructure APIs used to manage and operate the hyperscale compute fleet.
- Build the Kubernetes-based production control plane for unified machine management, state inspection, and distributed command execution.
- Maintain fleet state as a source of truth across provisioning, operations, and customer-facing platforms, including SLOs and site lifecycle state.
- Integrate new hardware generations and sites through zero-touch provisioning, DHCP, DNS, and artifact workflows.
- Carry pager responsibilities, lead incidents, write postmortems, and address systemic causes.
Requirements
- Treat automation and elimination of operational toil as core engineering responsibilities.
- Demonstrate strong API design and versioning judgment for systems operating at scale.
- Be comfortable working through ambiguity and rapidly developing competence in unfamiliar domains.
- Have shipped production services that other teams depend on at scale and be comfortable working in any programming language with AI coding tools.
- Be comfortable with incident response and on-call operations.
- Use AI tooling such as LLM APIs, MCP servers, and agentic frameworks, including tools such as Claude Code or Cursor.
- Preferred experience includes distributed systems, data pipeline engineering, time-series observability stacks, workflow and orchestration engines, BMC/Redfish, hardware telemetry, Go, Python, and Postgres.
Benefits
- Competitive total compensation package including salary and equity.
- Retirement or pension plan aligned with local norms.
- Health, dental, and vision insurance.
- Generous paid time off aligned with local norms.
Tech Stack
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.