Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems2 months ago
Responsibilities
- Design, build, and evolve CI/CD pipelines for reliable build, test, and release workflows.
- Own artifact lifecycle systems covering versioning, storage, distribution, dependency management, and reproducible builds.
- Improve code review workflows, branching strategies, repository management, and automated integration processes.
- Provision, monitor, and optimize AWS or other cloud infrastructure supporting CI workloads.
- Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues through root-cause analysis and durable fixes.
- Improve internal build infrastructure, test infrastructure, developer tooling, and automation to increase engineering productivity.
- Lead architectural improvements to developer infrastructure and identify systemic workflow bottlenecks.
- Contribute to AI tooling that improves engineering productivity and automates repetitive workflows.
- Provide technical leadership, influence engineering standards, and mentor engineers.
- Participate in on-call and incident response for Developer Productivity systems and services.
Requirements
- 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 automated build, test, and deployment infrastructure.
- Experience with artifact repositories, software packaging, dependency management, and reproducible builds.
- Experience with cloud computing platforms and programmatic infrastructure provisioning; AWS is preferred.
- Strong experience with distributed version control, 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; Kubernetes is preferred.
- Experience troubleshooting complex distributed systems and infrastructure issues.
- Demonstrated experience leading technical initiatives across multiple teams and improving developer infrastructure at organizational scale.
- Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements.
- Experience operating production systems and participating in on-call, incident response, and postmortem processes.
- Experience with infrastructure-as-code tools and practices is preferred.
- Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling is preferred.
- Experience with build systems, build graph optimization, or large-scale build infrastructure is preferred.
- Experience with observability, including monitoring, logging, alerting, and performance analysis, is preferred.
- Experience building internal developer platforms, self-service tooling, or developer-facing infrastructure is preferred.
- Experience applying AI/LLM tooling to engineering workflows or developer productivity is preferred.
- BS/MS in Computer Science or a related field, or equivalent practical experience.
Benefits
- Opportunity to build infrastructure for a breakthrough AI platform and work with a high-performance AI supercomputer.
- Opportunities to publish and open source AI research.
- Job stability with startup vitality and a simple, non-corporate work culture.
- Inclusive, equal-opportunity workplace emphasizing continuous learning, growth, and support.
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.