Staff Software Engineer (Developer Platform)

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. The role, in a nutshell: We're looking for a Staff Software Engineer to join our Developer Platform team. This team builds the “Factory” that powers Chainguard Engineering—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 and shorten the path from a CVE being issued 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. What you'll do Take ownership of significant pieces of the Developer Platform, across monorepo CI/CD, the Agentic AI platform (DriftlessAF), shared build infrastructure, or the change-throughput substrate, and contribute to technical direction alongside the rest of the team. 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), RAG-as-platform so any team can give its agents 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 the monorepo 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. Mentor teammates, raise the bar on design and code review, and serve as a technical voice for engineering velocity and operational excellence. What we're looking for 8+ years building and operating production services and platform infrastructure in modern cloud environments. Proficiency with Go, or strong readiness to ramp quickly. Deep technical expertise in CI/CD systems, container-based orchestration, and the tooling required to scale a large monorepo across build, test, and release. Experience contributing to technical direction across multiple teams — evaluating tradeoffs, helping deprecate legacy systems, and building alignment around a target architecture. Familiarity with Agentic AI and LLM-based automation in production, and an interest in context engineering (RAG, memory, tool-calling) at platfor ... (truncated, view full listing at source)