AI Fleet Platform Software Engineer

Highlights

• Build software to monitor and manage AI clusters across growing data centers.
• Give operators clear views of fleet health, capacity and ongoing issues.
• Automate incident investigation to keep large-scale AI compute capacity available.

Ideal candidate

A seasoned infrastructure builder who thrives on ambiguous, operations-driven problems and cares deeply about reliability at scale. You enjoy partnering with operators to turn real incidents into resilient, practical platforms.

Requirements

• 12+ years of industry experience building and operating production software for distributed systems or large-scale infrastructure
• Strong Go or Python skills and experience designing services and APIs
• Expertise in control planes, fleet management systems, or operational platforms
• Experience with Linux, containers, Kubernetes, and handling failures across distributed systems
• Experience designing systems that handle asynchronous work, retries, and partial failures
• Experience with event streaming, workflow automation, or time-series telemetry
• Strong judgment in reliability, security, and observability
• Ability to lead ambiguous projects and work effectively across engineering and operations teams