Senior Software Engineer (Developer Platform)

Chainguard is a company focused on providing secure foundations for software development and deployment. They are seeking a Staff Software Engineer to join their Developer Platform team, responsible for building infrastructure and tooling to enable developers to ship secure software efficiently.

Responsibilities:

• Design, build, and evolve internal platform services by understanding how Chainguard engineers use shared infrastructure, ensuring our "Factory" capabilities work seamlessly across the organization
• Implement agent observability by capturing and analyzing structured traces, making AI-driven workflows (like automated CVE remediation) debuggable and reliable in production
• Optimize our monorepo CI/CD pipeline to maintain high-performance DORA metrics, focusing on improving build stability and reducing flake rates
• Master context engineering by validating patterns for agent skills and memory, enabling agents to make consistent decisions across complex engineering workflows
• Contribute to a productivity-driven roadmap with clear outcomes, helping the team prioritize tradeoffs to remove "shadow production" risks and deliver standardized "paved road" blueprints

Requirements:

• 5+ years of experience building production services and infrastructure in a modern cloud environment
• Proficiency with Go (Golang) or strong readiness to ramp quickly
• Deep technical expertise in scaling container-based orchestration and workflow engines to automate the software delivery lifecycle, ensuring the underlying 'Factory' infrastructure is as robust as the products it builds
• Familiarity with Agentic AI or automation workflows and a passion to master context engineering (RAG, memory, and tool-calling) to scale AI agents in a production engineering environment
• Excellent communication and collaboration skills, including the ability to work with engineers across the company to identify and automate away repetitive manual tasks
• A genuine interest in a high-paced, high-intensity, 'ship it' culture where you're self-directed, comfortable with ambiguity, and focused on data-driven improvements to product delivery