Software Engineer, Networking
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Before you apply
Salary$175k – $300k
LocationLondon
Typefull-time
SenioritySenior
DepartmentProduction Engineering
EquityIncluded
Company size1,001–5,000 people
First seenJul 11, 2026 · 3mo ago
Verified live3d ago
May no longer be actively hiring
First seen on the company's careers page 118 days ago65% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
You treat toil as a bug — you build tooling to automate manual diagnosis
You think in systems — understand how different faults propagate and build tooling to distinguish them
You move toward ambiguity — walk into the fog, build the map, explain it to others
You learn at a steep slope — reach real competence in an unfamiliar domain fast
You carry a pager without flinching — run incidents, write postmortems, fix systemic causes
You're fluent with AI tooling — LLM APIs, MCP servers, agentic frameworks, Claude Code, Cursor
You've 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 understanding network monitoring (gNMI, gRPC, NETCONF, SONiC)
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
BGP
ECMP
LLM APIs
MCP
Claude Code
Cursor
Benefits
Health insurance
Dental insurance
Vision insurance
Retirement plan
Generous PTO
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
Hiring process
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Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
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Insane urgency. We drive everything forward as fast as possible.
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Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
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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.
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Build something that actually matters. If you’re going to spend your time, spend it on something that matters to the world.
The Production Engineering Team
Examples of key exciting problems the team is working on
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Turn every network fault from a mystery into a closed ticket: link diagnostics across router-router and NIC-to-router paths, remote command execution across the fleet, and repair visualization that shows exactly what’s broken and why. At this scale, debugging has to be systematic, not artisanal.
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Build the network repair pipeline that runs itself: 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. When a new site comes online every six months, manual repair doesn’t keep up.
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Build the network monitoring platform for a fleet that never stops growing: define requirements, alerting lifecycle, and health dashboards from scratch, for infrastructure spanning multiple hyperscale sites today and 10s to 100s of GWs ahead. It doesn’t exist yet. We’re building it.
Role Scope
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
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You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
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You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
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You’re fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
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You’ve shipped production network tooling or automation that other teams depend on, and you’re comfortable in any language using AI coding tools.
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You’ve developed automation tools in Go and Python, are experienced in link diagnostics, optical networks, and understanding network monitoring (gNMI, gRPC, NETCONF, SONiC)
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Bonus: RMA and repair lifecycle automation. Large-scale datacenter fabric (BGP, ECMP, spine-leaf). Out-of-band network management.
Salary & Benefits
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Competitive total compensation package (salary + equity).
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Retirement or pension plan, in line with local norms.
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Health, dental, and vision insurance.
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Generous PTO policy, in line with local norms.
We are committed to pay equity and transparency.
Legal
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.
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AI Screening Notice
Ashby Bias Audit
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you’ve applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.