Software Engineer, 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 the facilities data pipeline: ingestion, transformation, and serving of telemetry from every site. Ship the connectors that speak the field's languages, BACnet, Modbus, OPC UA, and vendor APIs, reliably. Own data quality in code: validation, gap detection, and backfill tooling. Serve the consumers: clean APIs and datasets for dashboards, controls, and ML. 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 shipped production data pipelines and owned them on call. You've integrated with industrial protocols or ugly vendor APIs and made them reliable. You test data code properly: correctness, latency, and gaps. You debug across the stack, from a flatlined sensor to a slow query. You work fast with modern tooling and AI-assisted development. Bonus: Time-series systems. Go, Python, or TypeScript. Industrial and IoT data. Grafana ecosystems. 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.