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Production Engineer, Facilities

Fluidstack· Production Engineering
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San Francisco, CA, New York, NY, Austin, TX, Seattle, WA$173k - $279kFull-timePosted 3mo ago

About the role

Role focused on production reliability and operations of Fluidstack facilities, including telemetry, control integration, and site-wide infrastructure for large-scale AI compute environments.

Responsibilities

  • 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.

Qualifications

  • 2+ years of applied industry experience.
  • Has carried a pager for production infrastructure and can run an incident from first alert through restoration, postmortem, and systemic fix.
  • Written production automation in Python, Go, or a similar language that replaced a manual operational workflow other teams depended on.
  • Understands observability as an operating system, with defined meaningful service health, alerts, SLOs, and review rhythms.
  • Able to debug across system boundaries from physical sensor to data pipeline, API, dashboard, and operator workflow.
  • Takes toil as a bug and builds safe, repeatable paths for repairs or deployments.
  • Comfortable with infrastructure as code, Kubernetes, GitOps, deployment pipelines, and production data systems.
  • Moves toward ambiguous, high-impact failures and builds domain knowledge to make quick, good decisions.
  • Ability to work effectively with software engineers, controls/design engineers, field teams, vendors, and site operators without blurring ownership.
  • Uses modern AI-assisted engineering tools to investigate systems, write and review code, and reduce time from diagnosis to resolution.
  • For senior/lead scope, demonstrated ability to set technical direction, build a reliability roadmap, grow engineers, and balance 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.

Skills

Required:On-call incident managementPython
Nice to have:Go
Last updated Oct 6, 2026. Interested? Apply on the company site.
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About Fluidstack

Fluidstack builds civilization-scale infrastructure for AI

Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.

AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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