Lead distributed systems engineering at Cerebras Systems, building Kubernetes-based inference infrastructure for globally distributed AI workloads.
As a Staff Engineer on the Inference Platform team, you will own orchestration connecting cloud components with machine learning services. You will design production software, guide architecture, and address unsolved platform challenges. The work spans Kubernetes custom resource definitions, security policies, CI/CD, observability, networking, and reliability. Cerebras builds AI hardware designed for high-speed training and inference.

Key Responsibilities

Design, develop, test, and maintain production softwareShape platform architecture, service boundaries, and technical roadmapsArchitect active-active systems with failover and graceful degradationLead production incidents,



capacity planning, and post-incident improvementsInfluence engineering decisions through reviews, pairing, and standardsRequirements:
Eight or more years of software engineering experienceExperience operating large-scale distributed systems or cloud infrastructureDeep distributed systems expertise, ideally with KubernetesProficiency in Go or C++ production developmentExperience with TLS, mTLS, observability, and SLO-driven operationsBring distributed systems judgment, Kubernetes expertise, and production engineering skills to Cerebras Systems’ Inference Platform team.
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📌 Staff Distributed Systems Engineer (Canada)
🏢 Cerebras
📍 Canada