Software Engineer - Tools & Infrastructure / DevOps (Toronto)

Software Engineer - Tools & Infrastructure / DevOps (Toronto)

06 Oct
|
Foundation Capital
|
Toronto

06 Oct

Foundation Capital

Toronto

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; 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.

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. 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 the company’s efforts on AI tooling to boost engineering productivity efficiently. 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. ~ Scripting proficiency in Python or Shell for build automation and tooling. Understanding of observability practices including monitoring, logging, and alerting.

BS/MS in Computer Science or a related field, or equivalent practical experience. 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.

Build a breakthrough AI platform beyond the constraints of the GPU. # Publish and open source their cutting-edge AI research. # Work on one of the fastest AI supercomputers in the world. # Our simple, non-corporate work culture that respects individual beliefs. We try every day to build a work setting that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data.

📌 Software Engineer - Tools & Infrastructure / DevOps (Toronto)
🏢 Foundation Capital
📍 Toronto

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