We're looking for a Staff Software Engineer to join our Developer Platform team. This team builds the “Factory” that powers Chainguard Engineering. It is the internal infrastructure, automation, and AI tooling that lets our engineers ship secure software at scale
This is a high-impact, high-visibility role on a team whose mission is to eliminate developer toil, accelerate teams, and shorten the path from vulnerabilities being discovered to a hardened artifact landing in our customers' hands. The team owns the internal platform end-to-end—monorepo CI/CD, our Agentic AI platform, (DriftlessAF) shared build infrastructure, and the foundation for how changes get validated, reviewed, and landed. AI agents are reshaping how change reaches production, and a key focus this year is scaling that substrate well beyond what traditional PR-based workflows can support, while keeping safety and review quality high
You'll own meaningful slices of these problems, contribute to direction-setting on the team, and partner with engineering leaders across the org to drive DORA-aligned outcomes and deliver a standardized paved road for new and existing products to ship on
Take ownership of significant pieces of the Developer Platform—across monorepo CI/CD, the Agentic AI platform , shared build infrastructure, and contribute to technical direction alongside the rest of the team
Author technical architectural design documents to deliver on our customer’s needs, efficiently coordinate across teams, and ensure our software is reliable, secure, performant, scalable, and maintainable
Help improve the speed, reliability, and developer experience of the monorepo CI/CD pipeline so engineers spend more time shipping and less time waiting on or debugging builds
Contribute to the next generation of change throughput—exploring substrates beyond PR-based workflows for agent-driven changes, helping enable trusted agents to commit directly to main with automated validation, and supporting AI-assisted review and auto-merge for low-risk changes
Help productionize the Agentic AI platform: agent observability (structured traces, costs, debuggability), shared memory, and the context-engineering patterns (skills, tools, memory) that keep agents reliable from dev through prod
Work with the team to consolidate fragmented build systems and deliver standardized “paved road” blueprints so new products can onboard to mono and ship to production quickly
Partner directly with engineers across the company to identify toil, codify patterns, and automate repetitive manual work away—treating internal stakeholder teams as customers of the platform. Identify patterns across teams to anticipate developer’s needs
Mentor teammates and other engineers, raise the bar on design and code review, and act as one of several technical voices for engineering velocity and operational excellence