Production Engineer, Network in London

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply!

How We Operate

• High ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
• Velocity. We drive everything forward as fast as possible.
• First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
• Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

The Production Engineering Team

Examples of key exciting problems the team is working on:

• We're building the active debugging tooling that turns a network fault from a mystery into a solvable problem — link diagnostics across router-router and NIC-to-router paths, remote command execution across the fleet, and repair visualization that shows you exactly what's broken and why.
• We're building the end-to-end network repair pipeline — from automated fault detection through RMA initiation, ticket integration, transceiver lifecycle tracking, and return to service — across DC fabric, edge, and host-to-network layers.
• We're defining and building the realtime network monitoring platform from scratch — requirements, alerting lifecycle, and health dashboards — for a fleet that spans multiple hyperscale datacenter sites and keeps growing.

Role Scope

• Own network fleet health end to end. Define the realtime monitoring requirements, build the alerting lifecycle, and ship the dashboards that give every on-call engineer a true picture of network state across all sites.
• Build active debugging tooling. Link diagnostics, remote command execution across the fleet, and repair visualization — the tools that turn a network fault from a mystery into a solvable problem, fast.
• Turn repair into a pipeline, not a procedure. Build the automation that takes a network failure from detection through parts management and return to service. Ticket integration, repair lifecycle pipelines, transceiver and optics tracking — owned, not improvised.
• Own network qualification and validation. Build the frameworks that gate new sites and hardware into production. You define what a healthy network looks like before it carries traffic.
• Own end-to-end reliability, scalability, and operation of the network at-scale. Fluidstack is building one of the largest datacenter networks in the world and that can only be accomplished with aggressive automation, tooling, and incident discipline.

What We’re Looking For

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

• You treat toil as a bug. If diagnosing a link failure requires SSHing into boxes and running commands by hand, you build the tool that does it for you.
• You think in systems. You understand how a transceiver fault, a misconfigured route, and a power event each propagate differently — and you build tooling that can tell them apart.
• You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
• You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
• You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
• You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
• You've shipped production network tooling or automation that other teams depend on, and you're comfortable in any language using AI coding tools.
• Bonus: Network automation and tooling (gNMI, gRPC, NETCONF, SONiC). Link diagnostics or optical network monitoring. RMA and repair lifecycle automation. Large-scale datacenter fabric (BGP, ECMP, spine-leaf). Out-of-band network management. Go or Python.

Salary & Benefits

• Competitive total compensation package (salary + equity).
• Retirement or pension plan, in line with local norms.
• Health, dental, and vision insurance.
• Generous PTO policy, in line with local norms.
• The base salary range for this position is $175,000 - $300,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.