Software Engineer, Data Center Automation
Core
Build software systems to automate data center operations, fleet health monitoring, and hardware qualification for AI compute infrastructure.
Role type
Senior IC software engineer (data center automation)
Builds
Fleet health systems, automated repair/RMA workflows, hardware qualification pipelines, and facility maintenance tools for hyperscale AI data centers. (via careerplan.io/jobs/c761f619-c88f-4e30-b5de-059102f13b16-software-engineer-data-center-automation-at-fluidstack)
Domain
Data center infrastructure + AI compute operations
Deliverable
production ML models
Required skills
Go, Python, TypeScript, Kubernetes, bare metal management, LLM API integration, agentic frameworks, autonomous AI coding tools, on-call rotation experience, production engineering, SRE, hardware qualification, burn-in frameworks, BMC/Redfish/IPMI, CMMS/DCIM, BMS/EPMS/SCADA, Prometheus, Grafana.
Preferred skills
Production engineering on large GPU fleets, hardware qualification, burn-in frameworks, BMC/Redfish/IPMI tooling, CMMS/DCIM systems, BMS/EPMS/SCADA, Prometheus, Grafana.
Technologies
Kubernetes, Go, Python, TypeScript, LLM APIs, MCP servers, agentic frameworks, Claude Code, Cursor, BMC, Redfish, IPMI, CMMS, DCIM, BMS, EPMS, SCADA, Prometheus, Grafana.
Responsibilities
Build real-time telemetry and healthcheck systems for machines across Kubernetes and bare metal; automate repair and RMA workflows from failure detection to return to service; compose hardware qualification workflows (burn-in, baselining, validation) into rack-level processes; migrate legacy datacenter inventory and asset management systems to a unified platform; convert SOPs and technician qualifications into structured, auditable data for site SLOs and deployment reporting.
Seniority
Senior, hands-on IC
