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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 Extreme 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 Infrastructure Team Examples of key problems the team is working on Turn up gigawatts at the speed of light. First rack to full fabric convergence across tens of thousands of links in weeks, at a new site every few months. Automate yourself out of the cutsheet. ZTP every device, machine-validate every link, and burn down turn-up queues with tooling instead of headcount. Anything done twice by hand becomes software. Make handoff mean flawless. Every optic clean, every link error-tested, every config golden before a training job ever touches the fabric. At this scale, “close enough” is an outage. Role Scope Deploy and validate data center network infrastructure (front-end, back-end, BMS, management): configure switches, install and validate optics, coordinate cabling, and drive deployments to completion. Ensure physical connectivity meets production standards: coordinate fiber remediation, validate insertion loss and OTDR traces, troubleshoot optical-layer issues, and document as-builts. Manage hardware logistics: device staging, rack/stack coordination, RMA, DCIM updates, inventory, and vendor shipments so devices are ready when deployments need them. Partner with DC Operations, ICT, Hardware, and Network Engineering to identify blockers early, escalate decisively, and keep multi-team efforts on track. Maintain cutsheets, as-builts, validation results, and lessons learned, and contribute to the deployment playbook that lets the team scale. Provide operational support during and after deployments: incident response, troubleshooting, and break-fix. 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've done hands-on data center network engineering and understand modern fabrics (EVPN/VXLAN, BGP, CLOS), having configured production infrastructure. You thrive in the field, equally comfortable pulling cable, configuring switches, and troubleshooting the optical layer, and you execute with whatever tooling is available. You troubleshoot methodically across physical and logical layers: OTDR traces, insertion loss, BGP sessions, and connectivity through complex topologies. You communicate clearly across technical and non-technical teams, document well, and follow through. You learn fast and take ownership of ramping on new technology, and you'll travel 50 to 60% to onsite deployments. Bonus: AI fabric turn-up experience. Configuration management and automation tooling. Vendor certifications. 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. Total compensation may also include equity in the form of restricted stock units. 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. 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-- someone from our recruiting team will be in touch. Compensation Range: $164K - $206K
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.