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AI Inference Core - Senior Senior Software Engineer for DevOps

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA), Hybrid (Toronto, CAN)Full-timePosted 2mo ago

About the role

Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure, focusing on CI/CD, Kubernetes, deployment automation, cloud and on-prem infrastructure, developer environments, artifact management, and observability.

Responsibilities

  • Design, build, and maintain CI/CD systems supporting build, test, integration, qualification, and release workflows.
  • Build and operate Kubernetes-based platforms and services used by engineering teams across Cerebras.
  • Develop deployment systems, internal tools, and self-service workflows that make infrastructure changes repeatable, reviewable, and safe.
  • Improve infrastructure reliability, capacity, performance, cost efficiency, monitoring, and operational readiness.
  • Debug issues spanning CI pipelines, Kubernetes workloads, networking, storage, authentication, operating systems, and distributed applications.
  • Perform root-cause analysis and implement lasting fixes rather than relying on repeated manual intervention.
  • Partner with software, IT, security, networking, release, and developer-productivity teams to deliver scalable infrastructure solutions.

Qualifications

  • 5+ years of professional experience in platform engineering, DevOps, infrastructure engineering, site reliability engineering, or software engineering.
  • Hands-on experience building or maintaining CI/CD pipelines and automated software-delivery workflows.
  • Experience deploying and operating services using Kubernetes and containerized environments.
  • Experience with a major cloud platform, preferably AWS, and programmatic infrastructure provisioning.
  • Strong understanding of Linux or Unix operating-system fundamentals.
  • Understanding of networking concepts such as DNS, routing, load balancing, proxies, ports, TLS, and service connectivity.
  • Proficiency in Python, Shell, or another language used to build infrastructure automation and operational tooling.
  • Experience with monitoring, logging, alerting, dashboards, and incident investigation.
  • Strong debugging and problem-solving skills, including the ability to investigate issues spanning applications, infrastructure, networking, and operating systems.

Skills

Required:CI/CD pipelinesKubernetesCloud platformsLinux/UnixNetworkingPython / ShellMonitoring / Logging / Incident responseRoot-cause analysis
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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