Operations Engineer

Location

Location: San Francisco, CA; Austin, TX; New York, NY; Seattle, WA (On-site)

Salary

Salary: $208,000 – $269,000 per year plus equity

Company

hirify.global builds civilization-scale infrastructure for AI, focusing on delivering massive GPU compute capacity with speed and scale as key differentiators.

What you will do

• Build and automate repair pipelines for GPU fleet management to handle failures without human intervention.
• Qualify new GPU generations rapidly to define production readiness before site launches.
• Migrate live compute clusters and manage Kubernetes-orchestrated bare metal infrastructure at scale.
• Develop observability and orchestration layers for real-time fleet health and performance monitoring.
• Design and maintain metrics pipelines, alerting systems, and unified health views for compute fleet.
• Own firmware-level telemetry tooling such as Redfish and BMC for repair automation and health monitoring.

Requirements

• Location: Must work on-site in one of the specified US cities
• Strong hardware instincts including firmware and silicon-level failure reasoning.
• Ability to handle ambiguity and learn quickly in unfamiliar domains.
• Experience with AI tooling such as LLM APIs and agentic frameworks.
• Proven track record shipping production automation in any programming language.
• Incident management experience including running pagers and postmortems.

Nice to have

• Experience with hardware lifecycle management and RMA automation.
• Familiarity with BMC/Redfish or IPMI tooling.
• Knowledge of GPU qualification or burn-in frameworks.
• Experience with workflow and orchestration engines like Temporal or Cadence.
• Skills in metrics and alerting pipelines using Prometheus and Grafana.
• Programming experience in Go or Python.

Culture & Benefits

• Competitive total compensation including salary and equity.
• Retirement or pension plans aligned with local norms.
• Health, dental, and vision insurance.
• Generous paid time off policy.