Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems2 months ago
Toronto, Canada or Sunnyvale, CA, USAMid Level / Senior
H1B sponsor
Responsibilities
- Develop and maintain CI/CD pipelines for reliable build, test, and release workflows.
- Manage artifact versioning, storage, distribution, dependency management, and reproducible builds.
- Improve code review workflows, branching strategies, repository management, and automated integration processes.
- Provision, monitor, and optimize cloud infrastructure for CI workloads.
- Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues through root-cause analysis.
- Build internal build infrastructure, test infrastructure, tooling, and automation to improve developer productivity.
- Contribute to AI tooling intended to improve engineering productivity.
- Participate in the Dev Productivity organization’s on-call and incident response task force.
Requirements
- 4–8 years of professional experience in a DevOps, infrastructure, or software engineering role.
- Hands-on experience building or maintaining automated build and deployment pipelines.
- Understanding of artifact repository management and software packaging concepts.
- Experience with cloud computing platforms and programmatic resource provisioning, with AWS preferred.
- Proficiency with distributed version control systems, code review processes, and repository management.
- Knowledge of Linux/Unix operating system concepts, networking fundamentals, and scripting for automation.
- Experience with containerization and container orchestration, with Kubernetes preferred.
- Strong troubleshooting skills and a methodical approach to debugging distributed systems.
- Familiarity with infrastructure-as-code tools and practices.
- Proficiency with Python or Shell for build automation and tooling.
- Exposure to build systems and build graph optimization.
- Understanding of observability practices including monitoring, logging, and alerting.
- BS/MS in Computer Science or a related field, or equivalent practical experience.
Benefits
- Opportunity to build infrastructure supporting Cerebras’s breakthrough AI hardware and platform.
- Opportunities to publish and open-source cutting-edge AI research.
- Work with one of the world’s fastest AI supercomputers.
- Job stability with startup vitality.
- Non-corporate work culture focused on individual beliefs, continuous learning, growth, and support.
- Equal opportunity employer committed to an inclusive and diverse work environment.
Tech Stack
Categories
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.