Cluster Operations Software Engineer
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Summary
Operates Cerebras' advanced AI compute clusters, keeping them healthy and available while building operational software such as monitoring platforms, automation services, APIs, dashboards, and reliability tooling. Day-to-day work centers on Python/Go, Docker/Kubernetes, Linux systems, incident troubleshooting, and a 24/7 on-call rotation.
You will operate advanced AI compute clusters, maintain their health and availability, and optimize capacity. You will build operational software, monitoring platforms, automation services, APIs, dashboards, and reliability tooling. You will troubleshoot incidents, handle engineering escalations, and participate in a 24/7 on-call rotation.
Responsibilities
- Deploy, configure, and debug container-based services using Docker
- Build software solutions for cluster operations, monitoring, workflow automation, dashboards, and reliability
- Develop APIs, automation services, and integrations for operational visibility and fleet management
- Manage and operate AI compute infrastructure clusters
- Monitor cluster health and resolve potential issues
- Optimize compute capacity and resource allocation
- Provide 24/7 monitoring and troubleshooting support
- Handle engineering escalations and resolve technical challenges
Requirements
- 6-8 years of relevant experience managing complex compute infrastructure
- Python
- Go
- Distributed systems
- Linux compute systems and command-line tools
- Docker
- Kubernetes
- Monitoring and alerting systems
- Troubleshooting complex technical issues
- Willingness to participate in a 24/7 on-call rotation