Production Engineer, Network
Own end-to-end network fleet health, monitoring, debugging tooling, and automated repair pipelines for massive AI datacenter infrastructure at Fluidstack. Requires systems thinking, automation-first mindset, on-call ownership, and daily use of AI coding tools like Claude/Cursor alongside Go/Python and network protocols.
About the job
Responsibilities
- Own network fleet health end to end: define realtime monitoring requirements, build alerting lifecycle, and ship dashboards for network state across all sites.
- Build active debugging tooling including link diagnostics, remote command execution across the fleet, and repair visualization.
- Turn repair into a pipeline: build automation from detection through parts management and return to service, including ticket integration, repair lifecycle pipelines, transceiver and optics tracking.
- Own network qualification and validation: build frameworks that gate new sites and hardware into production.
- Own end-to-end reliability, scalability, and operation of the network at-scale with aggressive automation, tooling, and incident discipline.
Requirements
- Treat toil as a bug and build tools to eliminate manual work (e.g., replace manual SSH diagnostics with automation).
- Think in systems: understand how faults like transceiver issues, misconfigured routes, and power events propagate and build tooling to distinguish them.
- Move toward ambiguity, build maps, and communicate them clearly.
- Learn at a steep slope and reach competence in unfamiliar domains quickly.
- Comfortable carrying a pager, running incidents, writing postmortems, and fixing systemic causes.
- Fluent with AI tooling: LLM APIs, MCP servers, agentic frameworks; drive Claude Code, Cursor, or similar daily.
- Shipped production network tooling or automation that other teams depend on; comfortable in any language using AI coding tools.
- Developed automation tools in Go and Python.
- Experienced in link diagnostics, optical networks, and network monitoring (gNMI, gRPC, NETCONF, SONiC).
Nice-to-Haves
- RMA and repair lifecycle automation.
- Large-scale datacenter fabric (BGP, ECMP, spine-leaf).
- Out-of-band network management.
Skills
Go, Python, Gnmi, gRPC, Netconf, Sonic, LLM APIs, Ai Coding Tools, Network Monitoring, Link Diagnostics, Optical Networks, BGP, Ecmp, Spine-Leaf, Rma Automation
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