FluidStack
Production Engineer, Network
About this role
Join Fluidstack's Production Engineering team to design and operate monitoring, diagnostics, and automation systems for a rapidly scaling AI compute infrastructure network. You'll own end-to-end network health, build fleet-wide debugging tools, and establish the repair pipelines that keep civilization-scale data centers running reliably.
What you'll do
- Define real-time monitoring requirements and build dashboards for network fleet health across multiple hyperscale sites
- Develop debugging tooling and diagnostics systems to isolate network faults systematically across the fleet
- Create automation pipelines for network failure detection, parts management, and return-to-service workflows
- Establish network qualification and validation frameworks to gate new sites and hardware into production
- Implement remote command execution and repair visualization systems for rapid incident response
- Drive incident response, postmortems, and systemic reliability improvements at scale
What they're looking for
- Network diagnostics and troubleshooting at scale
- Systems thinking and root cause analysis
- Infrastructure automation and tooling development
- Monitoring and observability platform design
- Python or similar systems programming language
- Datacenter networking and hardware (routers, transceivers, optics)
- Incident management and on-call operations
- API integration and data pipeline design
Opens the official application on the employer’s site. No login required.
FluidStack
FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.
- Website
- fluidstack.io
Likely interview questions
- Describe a time you automated away a manual, repetitive operational process. What was the impact?
- Walk us through how you'd approach debugging a mysterious network failure affecting traffic across multiple sites.