Staff Software Engineer - Tools & Infrastructure / DevOps

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

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 & 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.

Preferred Skills & Qualifications

- Experience with infrastructure-as-code tools and practices.

- Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.

- Experience with build systems, build graph optimization, or large-scale build infrastructure.

- Experience with observability practices including monitoring, logging, alerti …