Software Engineer - Tools & Infrastructure / DevOps

Cerebras Systems; Lower Sackville; On-site; CAD 90,000 - 130,000; Full time

Job summary

Cerebras Systems in Lower Sackville, Nova Scotia, seeks a seasoned DevOps/Infrastructure engineer to design and sustain scalable CI/CD pipelines and cloud infrastructure for large‑scale AI workloads.

You will partner with software teams to improve build and release processes, manage artifacts, and ensure reliable deployments on AWS, Kubernetes, and Linux environments in a collaborative on‑site setting.

Join a fast‑growing team working on breakthrough AI tooling and infrastructure at Cerebras.

Qualifications

• 4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
• Familiarity with CI/CD systems and building automated pipelines.
• Understanding of artifact repository management and software packaging concepts.
• Experience with cloud computing platforms (AWS preferred).
• Proficiency with distributed version control systems and code review processes.
• Foundational knowledge of Linux/Unix, networking fundamentals, and scripting for automation.
• Experience with containerization and container orchestration (Kubernetes preferred).
• Being part of on-call and incident response task force of Dev Productivity org.
• Curiosity about how large-scale infrastructure is built, operated, and improved.

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.

Skills

DevOps

Infrastructure

Software engineering

CI/CD

Git

Kubernetes

Linux

On-call

Education

BS/MS in Computer Science or related field

Tools

AWS

Git

CI/CD tools

Kubernetes

Linux

Observability tools

Job description

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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

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.

Skills & Qualifications

• 4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
• Familiarity with CICD 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.

Preferred Skills & Qualifications

• Familiarity with infrastructure-as-code tools and practices.
• Scripting proficiency in 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.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.