ఉద్యోగం
పార్టనర్ ఫీడ్ నుండి
Software Engineer, Networking
అభ్యర్థనపై ధర
వివరాలు
- ఉపాధి రకం
- ఫుల్-టైమ్
- రిమోట్
- లేదు
- కంపెనీ
- Fluidstack
వివరణ
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
• 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.
• Insane urgency. We drive everything forward as fast as possible.
• Reason from 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.
• 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
• 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.
• 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.
• 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
• 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.
• You’ve developed automation tools in Go and Python, are experienced in link diagnostics, optical networks, and understanding network monitoring (gNMI, gRPC, NETCONF, SONiC)
• Bonus: RMA and repair lifecycle automation. Large-scale datacenter fabric (BGP, ECMP, spine-leaf). Out-of-band network management.
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.…
Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/fluidstack/software-engineer-networking-london-497476)
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
• 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.
• Insane urgency. We drive everything forward as fast as possible.
• Reason from 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.
• 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
• 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.
• 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.
• 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
• 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.
• You’ve developed automation tools in Go and Python, are experienced in link diagnostics, optical networks, and understanding network monitoring (gNMI, gRPC, NETCONF, SONiC)
• Bonus: RMA and repair lifecycle automation. Large-scale datacenter fabric (BGP, ECMP, spine-leaf). Out-of-band network management.
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.…
Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/fluidstack/software-engineer-networking-london-497476)
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మూలం: Fluidstack
స్థాన
London, యునైటెడ్ కింగ్డమ్
Fluidstack ద్వారా అందించబడిన జాబితా.
