Cluster Operations Software Engineer

Job summary

Responsibilities

We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and…

• Deploy, configure, and debug container-based services using Docker.
• Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling.
• Collaborate with cross-functional teams to translate operational requirements into scalable O&M products and platform capabilities.
• Develop APIs, automation services, and integrations that improve operational visibility, incident response, and fleet management across global AI infrastructure.
• Manage and operate multiple advanced AI compute infrastructure clusters.

What they're looking for

• 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
• Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments.
• Experience and Expertise in distributed systems is a must.
• Deep understanding of Linux-based compute systems and command-line tools.
• Extensive knowledge of Docker containers and container orchestration platforms like k8s.

Tech stack

• Docker
• Python
• Go
• Kubernetes
• AWS
• GCP
• Azure