Staff DevOps & Build Infra Architect

Cerebras; Sunnyvale (CA); On-site; USD 170,000 - 260,000; Full time

Job summary

Cerebras Systems, makers of the world's largest AI chip, seeks an experienced engineer to lead CI/CD and developer productivity efforts in Sunnyvale, CA. You will design pipelines, manage artifacts, and optimize cloud infrastructure to accelerate build, test, and release cycles for AI workloads.

Ideal candidates have 7+ years in software or infra, strong Kubernetes and AWS experience, and a track record of enabling fast, reliable deployment at scale.

Qualifications

• 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
• Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure.
• Experience with artifact repositories, software packaging, dependency management, and reproducible build concepts.
• Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning.
• Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management.
• Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation.
• Experience with containerization and container orchestration, with Kubernetes preferred.
• Strong troubleshooting skills and the ability to debug complex distributed systems and infrastructure issues.
• Demonstrated experience leading technical initiatives across multiple teams and driving improvements to developer infrastructure at organizational scale.
• Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues.
• Experience operating production systems and participating in on-call, incident response, and postmortem processes.

Responsibilities

• Design, build, and evolve CI/CD pipelines that support reliable and efficient build, test, and release workflows across the organization.
• Own and improve artifact lifecycle systems, including versioning, storage, distribution, dependency management, and reproducible builds at scale.
• Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.
• Provision, monitor, and optimize cloud infrastructure supporting CI workloads, balancing cost, performance, scalability, and reliability.
• Troubleshoot complex build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing durable fixes.
• Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
• Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure.
• Contribute to the company’s efforts around AI tooling to improve engineering productivity and automate repetitive workflows.
• Provide technical leadership across projects, influence engineering standards, and mentor other engineers within the Developer Productivity organization.
• Participate in on-call and incident response for Developer Productivity systems and services.

Skills

CI/CD pipelines

Artifact repositories

AWS / cloud platforms

Distributed version control

Linux/Unix

Kubernetes

Python / Go / Shell

Automation scripting

DevOps / developer productivity

On-call / incident response

Education

BS/MS in Computer Science or related field

Tools

Docker

Job description

Cerebras Systems, makers of the world's largest AI chip, seeks an experienced engineer to lead CI/CD and developer productivity efforts in Sunnyvale, CA. You will design pipelines, manage artifacts, and optimize cloud infrastructure to accelerate build, test, and release cycles for AI workloads.

Ideal candidates have 7+ years in software or infra, strong Kubernetes and AWS experience, and a track record of enabling fast, reliable deployment at scale.