Network Reliability Engineer — Automation & AI Tooling

Fluidstack; Austin (TX); On-site; USD 208,000 - 269,000; Full time

Benefits offered by this job

Salary growth potential

Premium health benefits

Job summary

Fluidstack is building a global datacenter network and seeks a senior network engineer to own fleet health, automation, and reliability at scale. You will define monitoring, build dashboards, and develop tooling to diagnose, repair, and validate new sites and hardware across multiple datacenters.

You will lead the automation of network operations, build end-to-end monitoring and incident response, and collaborate across teams to deliver resilient network infrastructure.

Qualifications

• Toil as a bug: build the tool that does it for you.
• Think in systems: understand how faults propagate and be able to tell them apart.
• Move toward ambiguity, not away from it: map the fog and explain it.
• Learn at a steep slope: reach real competence quickly in unfamiliar domains.
• Carry a pager: run incidents, write postmortems, fix root causes.
• Fluent with AI tooling: LLM APIs, MCP servers, and agentic frameworks used daily.
• Shipped production network tooling or automation relied on by other teams; comfortable in any language with AI coding tools.
• Developed automation tools in Go and Python; experienced in link diagnostics, optical networks, and network monitoring (gNMI, gRPC, NETCONF, SONiC).
• Bonus: RMA and repair lifecycle automation; large-scale datacenter fabric (BGP, ECMP, spine-leaf); out-of-band management.

Responsibilities

• Own network fleet health end to end. Define realtime monitoring requirements, build the alerting lifecycle, and ship dashboards that give on-call engineers a true picture of network state across all sites.
• Build active debugging tooling. Link diagnostics, remote command execution across the fleet, and repair visualization to turn faults into solvable problems quickly.
• Turn repair into a pipeline: automate detection through parts management and return to service; include ticket integration, repair lifecycle pipelines, and transceiver/optic tracking.
• Own network qualification and validation. Build frameworks that gate new sites and hardware into production; define what healthy network looks like before traffic
• Own end-to-end reliability, scalability, and operation of the network at-scale; Fluidstack aims to build one of the world's largest datacenter networks with aggressive automation and incident discipline.

Skills

Go

Python

Network automation

gNMI

gRPC

NETCONF

AI tooling

SSH

Job description

Fluidstack is building a global datacenter network and seeks a senior network engineer to own fleet health, automation, and reliability at scale. You will define monitoring, build dashboards, and develop tooling to diagnose, repair, and validate new sites and hardware across multiple datacenters.

You will lead the automation of network operations, build end-to-end monitoring and incident response, and collaborate across teams to deliver resilient network infrastructure.