Staff Software Engineer, Sustaining Automation
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Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk.
Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake.
Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital.
Who we are At Chainguard, we are on a mission to secure the software supply chain by default. Our team is founded by the industry's leading experts on open source software, security, and cloud native development.
Chainguard's product portfolio includes Chainguard Images and Chainguard Services. Customers range from Fortune 500 companies in banking, fintech, government, and infrastructure to startups and SMBs. Join us as we help organizations secure their software supply chain from source to production.
The role, in a nutshell Chainguard delivers the industry's most secure container images: minimal, zero-CVE, rebuilt daily from source. This role sits on our Package and Image Automation team, part of Sustaining Automation — the group that owns the automation underpinning our entire image factory. As we scale the number of ecosystems and images we support, this team builds and maintains the systems that keep packages and images current, tested, and building cleanly with as little manual intervention as possible.
As a Staff Engineer, you'll be a technical leader and driver of vision for this squad. You'll design systems, build AI-powered tooling, help set the roadmap, and raise the bar for engineering quality across the team. You'll partner closely with engineering leadership on planning and direction, not just execution.
This is a high-impact role at the intersection of developer tooling, AI/agents, and supply chain security.
What you'll do
- Drive the technical vision: Help set the roadmap and priorities for the squad, partnering with engineering leadership in ongoing planning cycles rather than a single fixed plan.
- Architect the automation platform: Design the end-to-end system that orchestrates package creation, test generation, and image building. Own technical decisions that need to scale.
- Build AI-powered tooling: Develop LLM-integrated, agentic pipelines for manifest generation, test scaffolding, and validation. Design prompt architectures, evaluation loops, and quality gates.
- Write production Go: This is a hands-on role — you'll build CLI tools, services, and integrations alongside your team.
- Build quality tooling: Develop tooling and automation that improves customer reliability, including test generators, validation frameworks, and quality gates.
- Mentor and raise the bar: Help less experienced teammates level up, especially where their background is strong in one area (e.g., OS/distro internals or service maintenance) and lighter in another.
- Collaborate across a distributed team: Work closely with teammates across time zones (primarily US/Canada, with close collaboration across EU and India-based colleagues on adjacent squads).
What we're looking for
- 7+ years of software engineering experience, with a track record of designing and building complex systems
- Strong Go expertise
- Experience with AI/LLM integration: building systems that use language models for code generation, automation, or developer tooling; some exposure to agentic workflows is a strong plus
- Systems architecture skills: ability to design loosely-coupled, scalable systems and make pragmatic trade-offs
- Experience building developer tools, CLIs, or automation platforms
- Deep Linux and build systems knowledge: experience with package managers (apk, apt, rpm), build...
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About Chainguard
Learn more about Chainguard and their company culture.
Software supply chain security company providing hardened, minimal container images.
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