Principal Reliability Operations Lead — Data Center Operations

California · San Francisco, CA · Texas · Washington · Austin, TX · New York, NY · Seattle, WA$220k–$260kPosted Jun 30, 2026
Principal Reliability Operations Lead — Data Center Operations LocationNew York, NY; Austin, TX; San Francisco, CA; Seattle, WAEmployment TypeFull timeLocation TypeOn-siteDepartmentOperationsCompensationEstimated Base $220K – $260K • Offers EquityTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.This range reflects a good-faith estimate based on the applicable pay scale, the range previously established for this role, the compensation of individuals currently in equivalent positions, and/or the budgeted amount for the position. Actual compensation may vary based on experience, qualifications, and other factors.We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.Total compensation may also include equity in the form of restricted stock units. About FluidstackWe 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 OperateExtreme 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 Data Center Operations TeamExamples of key problems the team is working onOperate at the scale of a nation, not a building. Accelerating toward 10s to 100s of GWs by the end of the decade, more than the entire electricity consumption of many countries. You won't just run a data center; you'll run infrastructure the size of a G7.Fly the plane while it's being built. Running flawless operations inside a live construction zone, adapting in real time and turning the pace of build-out into our advantage. You will redefine operational excellence.Write the playbook, don't inherit it. Most operators step into someone else's system. Here you build one, leaving your fingerprints on how the whole company runs. As we scale 100x, you'll set the standards, shape the operating model, and grow the team by the thousands.Role ScopeTake the on-call escalation when a site hits trouble and triage it virtually, using real knowledge of the team and the systems to decide what to escalate, when, and how to keep the field crew focused without burying them.Get on a plane when it matters: travel site to site (50%+) to work live incidents and post-incident reviews on the floor, and bring the practices that worked elsewhere with you.Own root cause analysis on significant events through to closure and track corrective actions to done, killing the underlying class of failure rather than the one instance in front of you.Read the patterns across the fleet’s...

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