Senior Software Engineer

Role Overview

As a Senior Software Engineer at Chainguard, you will lead the architecture and implementation of the Libraries Platform. You’ll build shared services, APIs, and pipelines that enable reproducible and trustworthy open-source libraries, while mentoring other engineers.

Key Missions & Responsibilities

• Architecture & Platform Delivery: Lead the design and implementation of the Libraries Platform, including services, APIs, and automation for reproducible libraries.
• Artifact & Verification Automation: Build and maintain automation for artifact creation, updates, and verification, including:
  • Vulnerability scanning and remediation workflows
  • Policy enforcement
• Reliability, Scalability & Observability: Drive platform SRE/platform practices by defining SLOs, building monitoring and alerting, and leading incident response.
• Engineering Leadership: Mentor engineers and drive lasting fixes by debugging complex toolchain and infrastructure failures.

Requirements

• 5+ years designing, building, and operating infrastructure for language ecosystems or developer platforms (e.g., build systems, package registries, CI/CD for widely used libraries/services).
• Strong remote/distributed communication, with a bias toward documentation, clarity, and collaboration across product, infra, and security.
• Strong proficiency in Go (Golang) (or ability to ramp quickly).
• Proven ability to debug and resolve complex toolchain/compiler/packaging/infrastructure failures and drive issues to root cause.
• Comfortable owning SRE/platform/DevOps-style responsibilities (reliability, observability, performance tuning).
• Experience building and owning developer tooling and automation (plugins, CLIs, code generators, or custom pipelines).
• Strong background in CI/CD, cloud-native infrastructure, and IaC, including:
  • Containers (Docker/OCI, Kubernetes)
  • Public cloud: GCP, AWS, or Azure
  • Tooling such as Terraform and GitHub Actions / Argo / Tekton (or equivalents).
• Ownership mindset: set technical direction and own critical outcomes.

Nice to Have

• Prior experience in SRE, platform engineering, or DevOps focused on developer productivity, CI/CD, or large language-ecosystem codebases.
• Familiarity with AI/ML packaging and building infrastructure for Python ML libraries/frameworks (e.g., PyTorch, TensorFlow) deployed on cloud/Kubernetes.
• Background with Linux packaging and reproducible build systems (e.g., Alpine, Wolfi, Debian, Bazel, CMake, Ninja).
• Experience with software supply chain security (e.g., SLSA, SBOMs, Sigstore, provenance/attestations, secure-by-default packaging).
• Open-source contributions in ecosystem tooling, libraries, or packaging.

Additional Information

• Location: Full remote
• Benefits/Perks: Unlimited PTO and equity/stock options