Senior AI Cluster Operations Engineer

Cerebras Systems; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

Cerebras Systems is seeking an AI Cluster Operations Engineer to manage and operate our Wafer-Scale Engine compute clusters, ensuring health, performance, and availability to support cutting-edge AI workloads.

You will develop automation, monitoring dashboards, and reliability tooling, work with Linux-based systems, Docker and Kubernetes, and provide 24/7 on-call support across global infrastructure to maximize compute capacity.

Qualifications

• 6-8 years of experience managing and operating complex compute infrastructure.
• Proficiency in Python and Go for building operational platforms.
• Experience with distributed systems and Linux-based compute environments.
• Extensive knowledge of Docker and container orchestration (Kubernetes).

Responsibilities

• Deploy, configure, and debug container-based services using Docker.
• Build and own software for cluster operations including monitoring platforms and reliability tooling.
• Collaborate with cross-functional teams to translate requirements into scalable O&M products.
• Develop APIs, automation services, and integrations for global AI infrastructure.
• Monitor cluster health and maximize compute capacity.
• Provide 24/7 monitoring and hands-on troubleshooting.

Skills

Python

Go

Distributed systems

Linux

Docker

Kubernetes

Job description

Cerebras Systems is seeking an AI Cluster Operations Engineer to manage and operate our Wafer-Scale Engine compute clusters, ensuring health, performance, and availability to support cutting-edge AI workloads.

You will develop automation, monitoring dashboards, and reliability tooling, work with Linux-based systems, Docker and Kubernetes, and provide 24/7 on-call support across global infrastructure to maximize compute capacity.