At a Glance
- Tasks: Own and optimise network health, build active debugging tools, and automate repair processes.
- Company: Fluidstack, a pioneering tech company focused on AI and network infrastructure.
- Benefits: Competitive salary, equity options, health insurance, and generous PTO.
- Other info: Dynamic work environment with opportunities for rapid growth and learning.
- Why this job: Join us to shape the future of AI and make a real impact in tech.
- Qualifications: Experience in network automation, strong problem-solving skills, and a passion for innovation.
The predicted salary is between 140000 - 240000 £ per year.
About Fluidstack: We exist to make humanity more free. 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. 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.
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:
- Building 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.
- 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.
- 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.
- Own network qualification and validation. Build the frameworks that gate new sites and hardware into production.
- Own end-to-end reliability, scalability, and operation of the network at-scale.
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.
- You think in systems.
- You move toward ambiguity, not away from it.
- You learn at a steep slope.
- You carry a pager without flinching.
- You're fluent with AI tooling.
- You've shipped production network tooling or automation that other teams depend on.
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.
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 careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application.
Production Engineer, Network in London employer: FluidStack
Fluidstack is an exceptional employer that fosters a culture of high ownership and autonomy, allowing Production Engineers to take charge of their projects and drive innovation in the rapidly evolving field of AI infrastructure. With competitive compensation, generous benefits, and a commitment to employee growth, Fluidstack provides a dynamic work environment where passionate individuals can thrive while tackling some of the most interesting challenges of our time. Join us in building civilization-scale infrastructure that expands human freedom and choice.
StudySmarter Expert Advice🤫
We think this is how you could land Production Engineer, Network in London
✨Tip Number 1
Network with people in the industry! Reach out to current employees at Fluidstack on LinkedIn or other platforms. A friendly chat can give you insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions that relate to network engineering. We want to see how you think through problems!
✨Tip Number 3
Show your passion for AI and network automation during interviews. Share any personal projects or experiences that demonstrate your skills and enthusiasm. We love candidates who are genuinely excited about the frontier of AI!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining the team at Fluidstack.
We think you need these skills to ace Production Engineer, Network in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for AI and network engineering shine through. We want to see that you care about the problems we're tackling and how you can contribute to our mission.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight relevant experiences and skills that align with the role. We love seeing how your unique background fits into our vision at Fluidstack.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Production Engineer role.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at FluidStack
✨Understand the Company’s Mission
Fluidstack is all about making humanity more free through technology. Before your interview, dive deep into their mission and values. Be ready to discuss how your passion for AI and network engineering aligns with their goals.
✨Showcase Your Problem-Solving Skills
The role involves turning complex network issues into manageable solutions. Prepare examples from your past experiences where you tackled similar challenges. Highlight your ability to think in systems and how you’ve built tools to automate tedious tasks.
✨Demonstrate Your Technical Proficiency
Be ready to discuss your experience with network automation and tooling. Brush up on relevant technologies like gNMI, gRPC, and Python. If you’ve worked with AI coding tools, share specific instances where they helped you deliver results.
✨Embrace Ambiguity
Fluidstack values those who can navigate uncertainty. Think of times when you faced unclear situations and how you approached them. Show that you’re comfortable walking into the fog and creating clarity for yourself and your team.