Bazel Ecosystems

We are helping enterprises and service providers build their AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture. Our cloud-agnostic, enterprise-grade MLOps platform abstracts infrastructure complexity and enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Senior Software Engineer, you will take ownership of backend-heavy, full-stack feature development—building robust services, scalable APIs, and intuitive frontends that power the user experience. You’ll contribute to the core of our enterprise-grade AI platform, collaborating across teams to ensure our systems are performant, secure, and built to last. This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience. Key Responsibilities • Take ownership of our existing Bazel ecosystem, including RBE setup, maintenance, and troubleshooting. • Ensure the stability, scalability, and performance of our CI/CD pipelines. • Collaborate with development teams to optimize build and test processes. • Maintain and improve our CircleCI setup, including workflow optimization and configuration management. • Manage Python package dependencies and ensure seamless integration with our CI/CD pipelines. • Work with the development team to implement best practices for package management and dependency management. • Familiarize yourself with our GAR and JFrog Artifact Management setup and optimize its usage. • Collaborate with the engineering team to implement infrastructure changes and improvements. Required Qualifications • 2+ years of experience in DevOps or Infra. • 1+ years of experience working with CircleCI • Strong understanding of Bazel and RBE, with experience maintaining and troubleshooting Bazel ecosystems especially in C++ (CMake) and Python. • Experience in managing dependencies in large scale projects. • Experience with Google Artifact Registry (GAR) and/or JFrog Artifact Management • Experience with Linux/Unix systems and command-line interfaces • Strong scripting skills (e.g., Python, Bash, etc.) • Excellent problem-solving skills and attention to detail • Ability to work collaboratively with cross-functional teams Preferred Qualifications • Experience with Python Package Management. • Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). • Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD, etc.) • Knowledge of software development best practices and coding standards