# Cluster Operations Software Engineer

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Sunnyvale, CA
**Role:** DevOps / SRE
**Experience:** 6+ years
**Skills:** Python, Go, Distributed Systems, Linux, Docker, Kubernetes, monitoring and alerting, ethernet, roce, TCP/IP, AWS, GCP, Azure
**Posted:** 2026-08-13

> Operates and develops software for large-scale AI compute clusters, improving reliability, capacity, monitoring, and incident response. Requires 6–8 years of complex infrastructure experience, strong Python and Go skills, distributed-systems expertise, and participation in 24/7 on-call support.

## Job Description

## Responsibilities
- Deploy, configure, and debug container-based services using Docker.
- Build and own software solutions for cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling.
- Collaborate with cross-functional teams to translate operational requirements into scalable operations and maintenance 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.
- Monitor and oversee cluster health, proactively identifying and resolving potential issues.
- Maximize compute capacity through optimization and efficient resource allocation.
- Provide 24/7 monitoring and support using automated tools and hands-on troubleshooting.
- Handle engineering escalations and collaborate with other teams to resolve complex technical challenges.
- Stay current with advancements in AI compute infrastructure and related technologies.

## Requirements
- 6–8 years of relevant experience managing and operating complex compute infrastructure, preferably in machine learning or high-performance computing.
- Proficiency in **Python** and **Go**, including experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments.
- Expertise in **distributed systems**.
- Deep understanding of **Linux**-based compute systems and command-line tools.
- Extensive knowledge of **Docker** containers and orchestration platforms such as **Kubernetes**.
- Ability to troubleshoot and resolve complex technical issues efficiently.
- Experience with monitoring and alerting systems.
- Proven ability to own challenges and drive them to completion.
- Strong communication and collaboration skills.
- Ability to work effectively in a fast-paced environment.
- Willingness to participate in a 24/7 on-call rotation.

## Preferred Skills
- Experience operating and managing large-scale AI clusters.
- Knowledge of **Ethernet**, **RoCE**, and **TCP/IP**.
- Knowledge of cloud computing platforms such as **AWS**, **Google Cloud**, and **Azure**.

## Benefits
- Opportunity to build and operate a breakthrough AI platform beyond GPU constraints.
- Opportunities to publish and open-source AI research.
- Work on one of the world's fastest AI supercomputers.
- Startup vitality with job stability.
- A non-corporate work culture that respects individual beliefs.

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**Canonical:** https://hotfix.jobs/jobs/0d57ab45-9014-486d-8274-bf6c1952d5af