Production Engineer, Facilities

Fluidstack; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Fluidstack is building civilization-scale infrastructure for AI in New York. The Production Engineering Team leads incidents involving facility software, telemetry, controls integrations, and automation, driving systemic fixes and reliability.

You will own end-to-end production reliability of telemetry and alarm platforms and build tooling for fleet-wide debugging and automation. You will work with software engineers, controls and design engineers, field teams, vendors, and site operators,

Qualifications

• You have carried a pager for production infrastructure and can run an incident from first alert through restoration, postmortem, and systemic fix.
• You bring 2+ years of applied industry experience.
• You have written production automation in Python, Go, or a similar language that replaced a manual operational workflow.
• You understand observability as an operating system, not a collection of dashboards; you define meaningful service health, alerts, and review rhythms.

Responsibilities

• Carry the facilities production on-call pager and lead incidents involving facility software, telemetry, controls integrations, and automation.
• Own the production reliability of the facilities telemetry and alarm platform end to end, including ingestion, storage, APIs, data-quality checks, alerts, backups, and recovery.
• Turn diagnosis and repair into pipelines with Python or Go tooling for fleet-wide debugging and automated validation.
• Own production deployment and runtime management for facilities services including BMS/EPMS integrations and SCADA platforms like Ignition.
• Define and enforce production-readiness standards for new sites, equipment, and telemetry integrations; build tests and release gates.
• Establish SLOs, capacity plans, health dashboards, runbooks, and escalation paths; conduct regular service reviews.

Skills

Pager responsibility

Python

Go

Observability

Kubernetes

GitOps

Incident response

SLOs & health

Industrial protocols

Tools

Ignition

BACnet

Modbus

OPC UA

Time-series DB

Virtual PLCs

Job description

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.

How We Operate

• Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.

• Insane urgency. We drive everything forward as fast as possible.

• Reason from 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.

• Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

The Production Engineering Team

Examples of key problems the team is working on

• Scaling the systems which make the physical plant observable and operable as one fleet. Building the telemetry, alarm, topology, and health systems that allow operators and automations to see the true state of power, cooling, and environmental infrastructure across every site.

• Turn facility incidents into a closed repair loop. Automate the path from detection and diagnosis through maintenance, remediation, validation, and return to service so failures do not disappear into handoffs between software, engineering, vendors, and site operations.

• Bring new sites and equipment into production safely at construction speed. Build repeatable readiness gates, commissioning signals, staged deployments, canaries, and rollback mechanisms for a fleet growing by multiple sites at once.

• Keep operators ahead of power and cooling risk. Build capacity views, safeguards, anomaly detection, service-health reviews, and operational tooling that identify problems before they affect customers.

Role Scope

• Carry the facilities production on-call pager and lead incidents involving facility software, telemetry, controls integrations, and automation. Diagnose the failure, coordinate the responsible teams, restore service, and drive the systemic fix.

• Own the production reliability of the facilities telemetry and alarm platform end to end. Build and operate ingestion, storage, APIs, data-quality checks, actionable alerts, retention, backups, failover, and recovery across industrial protocols and site integrations.

• Turn diagnosis and repair into pipelines rather than procedures. Build Python or Go tooling for fleet-wide debugging, maintenance workflows, automated validation, incident response, and safe return to service.

• Own production deployment and runtime management for facilities services, including BMS and EPMS integrations, SCADA platforms such as Ignition, virtual PLCs, demand management.

• Define and enforce production-readiness standards for new sites, equipment, APIs, telemetry integrations, and controls deployments. Build the tests, canaries, release gates, staged promotion, and rollback mechanisms that define what healthy looks like before launch.

• Own the operational maturity of every in-scope service. Establish SLOs, capacity plans, health dashboards, runbooks, escalation paths, incident drills, and regular service reviews with product owners and partner teams.

• Partner with Facilities Software Automation, Controls and Design Engineering, Field Engineering, and Facilities Operations. You make the systems these other teams build in and consume reliable, observable, scalable, and supportable in production.

What We're Looking For

• You have carried a pager for production infrastructure and can run an incident from first alert through restoration, postmortem, and systemic fix.

• You bring 2+ years of applied industry experience.

• You have written production automation in Python, Go, or a similar language that replaced a manual operational workflow other teams depended on.

• You understand observability as an operating system, not a collection of dashboards. You have defined meaningful service health, alerts, SLOs, and review rhythms.

• You debug across system boundaries. You can follow a failure from a physical sensor or controller through an industrial protocol, data pipeline, API, dashboard, and operator workflow.

• You treat toil as a bug. If a repair or deployment requires repeated manual steps, you build the safe, repeatable path.

• You are comfortable with infrastructure as code, Kubernetes, GitOps, deployment pipelines, and production data systems.

• You move toward ambiguous, high-impact failures and build enough domain knowledge to make good decisions quickly.

• You work effectively with software engineers, controls and design engineers, field teams, vendors, and site operators without blurring ownership.

• You use modern AI-assisted engineering tools to investigate systems, write and review code, and reduce time from diagnosis to resolution.

• For senior or lead-level scope, you have set technical direction, built a reliability roadmap, grown engineers, and balanced interrupt-driven operations with sustained engineering delivery.

• Bonus: Experience with BMS, EPMS, SCADA, Ignition, virtual PLCs, BACnet, Modbus, OPC UA, time-series databases, data center power or cooling, alarm rationalization, repair automation, or industrial control security.

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.