AI Fleet Platform Software Engineer

You will build and operate software that manages large fleets of AI clusters. You will create services, integrations, operational tools, and user-facing applications that help operators monitor health, capacity, performance, and incidents. You will lead projects from design through production, automate operational workflows, and improve reliability as the fleet grows.

Responsibilities

• Build and operate software for managing large fleets of AI clusters
• Provide operators with actionable views of cluster health, capacity, performance, and issues
• Develop services and integrations across infrastructure systems
• Automate incident investigation and service-restoration workflows
• Design reliable systems that withstand component and site failures
• Gather platform-user needs and make practical product and engineering decisions
• Lead projects from design through production and use operational feedback to improve them

Requirements

• 12+ years of industry experience building and operating production software for distributed systems or large-scale infrastructure
• Strong Go or Python skills
• Experience designing services and APIs
• Expertise in control planes, fleet management systems, or operational platforms
• Experience with Linux, containers, Kubernetes, and distributed-system failures
• Experience designing for 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 collaborate across engineering and operations teams