DevOps / Release Engineer with Bazel experience

3+ years 

Mandatory Skills: 

GCP 

Kubernetes 

Circle CI

Bazel experience

Job Description JD - DevOps / Release & Build Engineer Location: Remote Experience: 4–7 years About the Role We are hiring a DevOps / Release Engineer for our enterprise-grade, high-performance AI inference platform, powered by our RDU (Reconfigurable Dataflow Unit) 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 backbone of 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 Responsibilities • Keep CI/CD pipelines (CircleCI) stable, fast, and scalable - workflow optimization, configuration management, and reusable orbs/commands. • Maintain the Bazel ecosystem (Go, Rust, Python), including RBE setup, caching, troubleshooting, and build-graph health. • Maintain and improve our CircleCI setup, including workflow optimization and configuration management. • CI release pipeline (nightly and release modes), including multi-image releases driven by manifest/version files. • Build and publish artifacts (container images, Helm charts) to GAR / JFrog using tools like crane; manage hotfix delivery to customers. • Develop, maintain and run build + smoke validation in the pipeline. • Partner with engineering teams across the platform to roll out infrastructure changes and best practices. Required Qualifications • 4+ years in DevOps / Build / Release / Platform engineering. • Bazel experience in a multi-language monorepo (Go, Rust, and/or Python). • Hands-on strong CI/CD experience (CircleCI preferred; Jenkins/GitLab CI acceptable), including pipeline-as-code and workflow optimization. • Experience with Google Artifact Registry (GAR) and/or JFrog Artifact Management • Strong scripting/programming skills (Python and Bash). • Experience with Linux/Unix systems and command-line interfaces • Experience in managing dependencies in large scale projects • Problem-solving, ownership mindset and cross-functional collaboration. Preferred Qualifications • Familiarity with containerization (e.g., Docker) • Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD, etc.) • Experience with Python Package Management. • Google Cloud Platform (GAR, gcp CLI). • Knowledge of software development best practices and coding standards.