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…