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About the role
Aboutthe Role We are hiring a DevOps / Release Engineer for our enterprise-grade, high-performance AI inference platform, poweredby our RDU (Reconfigurable DataflowUnit) hardware. Our cloud-agnostic MLOps platform abstracts infrastructure complexity and enables seamless deployment, management, and scaling of foundation-model workloads at production scale. You will be part of the build, release,and software-supply-chain backboneof a large polyglot (Go, Rust,Python) Bazel monorepo spanning dozens of components from CI/CD and Remote Build Execution through release packaging, Helm/Kubernetes delivery, and security &license compliance. This is a role at the intersection of AI infrastructure, enterprise software, and DevOps. Key Responsibiliti esKeep CI/CD pipelines (CircleCI) stable, fast, and scalable - workflow optimization, configuration management, and reusable orbs/command s.Maintain the Bazel ecosystem (Go, Rust, Python),including RBE setup,caching, troubleshooting, and build-graph healt h.Maintain and improve our CircleCI setup,including workflow optimization and configuration managemen t.CI releasepipeline (nightly and release modes),including multi-image releases driven by manifest/version file s.Build and publish artifacts (container images, Helm charts) to GAR / JFrog using tools like crane; manage hotfix delivery to customer s.Develop, maintainand run build + smoke validation in the pipelin e.Partner with engineering teams across the platform to roll out infrastructure changesand best practice s. Required Qualificat ions4+ years inDevOps / Build / Release/ Platform engineer ing.Bazel experience in a multi-language monorepo (Go, Rust, and/or Pyth on). Hands-on strongCI/CD experience (CircleCI preferred; Jenkins/GitLab CI acceptable), including pipeline-as-code and workflow optimiza tion.Experience with Google ArtifactRegistry (GAR) and/orJFrog Artifact Manag ementStrong scripting/programming skills(Python and B ash).Experience with Linux/Unix systemsand command-line inter facesExperience in managingdependencies in large scale pro jectsProblem-solving, ownershipmindset and cross-functional collabora tion. Preferred Qualifi cationsFamiliarity with containerization (e.g., Docker)Experience with other CI/CD tools (e.g., Jenkins,GitLab CI/CD , etc.)Experience with Python Package Mana gement.Google Cloud Platform (GAR,gc p CLI).Knowledge of softwaredevelopment best practices and coding sta ndards.
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