Engineering Manager, Internal Developer Platform

Chainguard is the trusted source for open source, delivering secure and production-ready builds for organizations. They are seeking an Engineering Manager to lead the Internal Developer Platform team, focusing on improving developer productivity and building robust systems for software delivery and AI integration.

Responsibilities:

• Making engineers more productive every day by continuously improving the systems, workflows, tooling, and AI capabilities that support software development across Chainguard
• Creating opinionated, self-service platform capabilities and AI-native engineering workflows that allow engineers to focus on solving customer problems rather than managing infrastructure or repetitive engineering tasks
• Owning and evolving our software delivery systems, ensuring builds, testing, releases, and deployments are fast, reliable, secure, and scalable
• Driving operational excellence through SLOs, observability, automation, capacity planning, and continuous improvement
• Own and evolve Chainguard's Agentic Engineering Platform, enabling engineers to leverage AI across the software development lifecycle. Build the shared infrastructure, tooling, context management, evaluation frameworks, and guardrails that make AI-assisted engineering secure, scalable, and effective
• Leading a highly experienced team of senior engineers. Removing obstacles, creating clarity, and fostering an environment where engineers can do exceptional work
• Advancing Infrastructure as Code, GitOps, and platform automation initiatives that improve consistency and reduce operational burden
• Define and execute the roadmap for both the Internal Developer Platform and the Agentic Engineering Platform, balancing short-term engineering needs with long-term investments in developer productivity, AI capabilities, reliability, and security
• Partnering closely with application teams, security teams, and engineering leadership to understand developer needs and prioritize platform investments
• Participating in operational reviews, postmortems, and continuous improvement efforts while promoting a strong reliability culture
• Drive the adoption of AI across Engineering. Partner with engineering teams to identify opportunities, establish best practices, and continuously improve developer productivity through AI

Requirements:

• Experience managing software, infrastructure, platform, or SRE teams
• Proven success leading highly experienced engineers
• Strong coaching, communication, and organizational skills
• Champion AI adoption across Engineering by leading through example. Engineering leaders are expected to actively use AI in their own workflows and help their teams continuously improve how they leverage AI to deliver better software. We believe in the Token Rule for Engineering Leadership: managers should remain hands-on enough with AI tooling to effectively coach their teams while focusing on maximizing the organization's overall productivity rather than their own individual output
• Experience building and operating Internal Developer Platforms, Developer Portals, or similar engineering productivity systems
• Deep understanding of platform engineering principles and developer experience best practices
• Experience introducing AI-assisted software development into engineering organizations
• Familiarity with coding agents such as Claude Code, Codex, Cursor, or similar tools
• Understanding of context engineering, evaluation frameworks, and operating AI-assisted development workflows
• Passion for improving engineering productivity through AI
• Strong background in Site Reliability Engineering, Production Engineering, DevOps, or Platform Engineering
• Experience with incident management, SLOs, observability, capacity planning, and operational excellence
• Strong Kubernetes and cloud infrastructure experience
• Familiarity with infrastructure automation and GitOps workflows
• Experience operating production services at scale
• Deep experience with GitHub and/or GitLab administration and workflows
• Strong understanding of CI/CD systems, repository management, developer workflows, and software supply chain best practices
• Exceptional ability to work across organizational boundaries
• Strong written communication and documentation skills
• Ability to influence without authority and build consensus across diverse teams
• Experience in Linux distros
• Experience in security-focused organizations
• Experience supporting large-scale Kubernetes environments
• Familiarity with software supply chain security and secure software delivery practices