Staff Software Engineer, Chainguard

• Familiarity with Terraform, Kubernetes, and cloud infrastructure (GCP, AWS, or Azure)
• Experience in Python packaging, including building and distributing wheels and dependencies
• Background in compilers, toolchains, and native build systems
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX) and their build/deployment ecosystems
• Familiarity with software supply chain security best practices (SLSA, SBOMs, sigstore, etc.)
• Experience with CI/CD and automation tools (e.g., GitHub Actions, Argo Workflows, Tekton, or similar)
• Working knowledge of Linux packaging and reproducible build systems (Alpine, Wolfi, Nix, Bazel, etc.) is a plus

Desirable

• As a Staff Engineer on Chainguard’s Libraries team, you will drive the technical strategy and implementation for our libraries, with a special focus on AI/ML
• This role involves designing and maintaining secure, reliable, and automated build systems for AI/ML toolchain packages and related tooling
• Your expertise will help expand and maintain Chainguard’s coverage over mission-critical libraries, advance our build automation, and improve vulnerability remediation workflows across the package ecosystem
• Design, build, and maintain AI/ML package infrastructure, including building, testing, and distributing ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, etc.) in reproducible and secure ways
• Develop and maintain Terraform modules and infrastructure-as-code (IaC) patterns to support reproducible deployment of ML services and pipelines
• Contribute to automation pipelines for building and verifying AI/ML packages (Python wheels, containers, etc.)
• Assist with troubleshooting toolchain-related build failures
• Implement and maintain observability, CI/CD, and policy enforcement systems for AI/ML workloads and infrastructure
• Evaluate and integrate emerging technologies in the AI/ML ecosystem with secure-by-default packaging and reproducibility principles