DevOps Engineer - CI/CD & Build Systems

Cerebras

Sunnyvale (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Cerebras Systems is hiring for a DevOps/Infrastructure engineer to build and maintain reliable CI/CD pipelines, manage artifact lifecycles, and optimize cloud infrastructure for scalable AI workloads. You will collaborate with development teams on code reviews, branching, and automated integration, while supporting on-call incident protocols to ensure system reliability.

The role emphasizes practical experience with AWS, Linux, containerization, and scripting to improve engineering velocity in a

Qualifications

2-5 years of professional experience in a DevOps, infrastructure, or software engineering role.
Familiarity with CI/CD systems and hands-on experiences in building or maintaining automated build and deployment pipelines.
Understanding of artifact repository management and software packaging concepts.
Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.
Proficiency with distributed version control systems, code review processes, and repository management.
Foundational knowledge of operating system concepts (Linux/Unix), networking fundamentals, and scripting for automation.
Experience with containerization and container orchestration (Kubernetes preferred).
Strong troubleshooting skills and a methodical approach to debugging distributed systems.
Curiosity about how large-scale infrastructure is built, operated, and improved.
Being part of oncall and incident response task force of Dev Productivity org.

Responsibilities

Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.
Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support 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 to support CI workloads, balancing cost efficiency with performance and reliability.
Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.
Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Contribute to the company’s efforts on AI tooling to boost engineering productivity efficiently.