Dev Ops, Facilities Pipeline

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. ROLE SCOPE - - Build and operate the data pipelines that stream facilities telemetry such as power, cooling, BMS, and environmental sensor data from every site into a unified platform. - - Stand up the ingestion, storage, and streaming infrastructure to handle high-frequency sensor data from a fleet scaling to tens of gigawatts across many concurrent sites. - - Automate deployment, monitoring, and alerting for the telemetry platform so a new site's data comes online in hours, not weeks. - - Own pipeline reliability end to end, with the uptime and data-quality guarantees that operations and engineering teams depend on to run live datacenters. - - Ship the tooling and infrastructure-as-code that lets a small team operate telemetry across a rapidly growing site footprint. 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 https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c.** - - You've built and operated production data pipelines that ingested high-volume, high-frequency data and stayed up. - - You've stood up ingestion and streaming infrastructure such as Kafka, a time-series database, or an equivalent that other teams built on top of. - - You've automated deployment and operations with infrastructure-as-code such as Terraform, Kubernetes, or CI/CD rather than hand-configuring servers. - - You've owned on-call for a data platform and driven down the incident rate by fixing root causes, not by adding dashboards. - - You've worked with sensor, IoT, telemetry, or industrial data, and you understand what breaks when the physical world is the data source. - - You write code and tooling that lets a small team operate infrastructure at a scale that would normally need a much larger one. - - **Bonus:** BMS, SCADA, or building automation data. Time-series databases such as InfluxDB, TimescaleDB, or Prometheus. Datacenter or industrial telemetry. Streaming systems at scale such as Kafka, Flink, or Spark. 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.