Devops Software Development Engineer

• Develop deep expertise in build tools and flows (CMake, Bazel, Make, compiler toolchains)
• Triage complex build failures by understanding the full build pipeline
• Identify root causes across infrastructure, toolchain, and code-level issues
• Train and mentor team members on build systems, CI/CD workflows, and debugging techniques
• Create documentation, runbooks, and training sessions
• Understand the architecture and codebase of ML frameworks (PyTorch, TensorFlow, ROCm stack)
• Review, debug, and contribute code changes as needed
• Design and develop internal tools, automation scripts, and services primarily in Python and Go
• Design, implement, and manage efficient continuous integration and delivery pipelines using Buildkite, GitHub Actions, and Jenkins
• Deploy and maintain robust Kubernetes-based environments across both on-premise and cloud platforms
• Automate provisioning, configuration, and management of infrastructure using Ansible, Python, and Bash
• Administer application and service deployment in Kubernetes using Helm charts
• Configure, manage, and maintain GPU-based compute environments
• Interact with MySQL databases to support dynamic data updates and integrate data sources into Grafana dashboards
• Work closely with ML framework developers, SREs, and project stakeholders
• Integrate automated testing frameworks into CI pipelines

• Strong understanding of CMake, Bazel, Make, and compiler toolchains (GCC, Clang, LLVM)
• Ability to debug complex build failures, understand dependency resolution, and optimize build performance
• Strong proficiency in Python and Go for building tools, services, and automation
• The ability to read and modify C++ code is a plus
• Understanding of ML framework architecture (PyTorch, TensorFlow, JAX, or similar)
• Ability to navigate large codebases, understand their build systems, and contribute fixes or improvements
• Experience documenting complex systems and training team members
• Ability to break down technical concepts and create effective learning materials
• Proficient with Buildkite, GitHub Actions, Jenkins, Ansible, and scripting for streamlining DevOps workflows
• Strong experience with Docker, Kubernetes, and Helm for deploying and managing scalable, containerized applications
• Hands-on experience automating infrastructure provisioning and configuration to ensure reproducibility and scalability across environments
• Familiarity with GPU server lifecycle management, ROCm/CUDA toolchains, and integration of GPU resources into CI test workflows
• Experience using tools like Checkmk, Prometheus, and Grafana to monitor infrastructure health and application performance
• Advanced knowledge of Git-based version control, including branching strategies and CI/CD integration
• Solid background in Linux environments, including shell scripting and system-level troubleshooting across distributed systems
• Comfort working in Agile teams and partnering with software, infrastructure, and product teams
• Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical discipline

Familiarity with C++

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