Engineering Manager, Internal Developer Platform

Chainguard

1d • $205,000 - $230,000 • Remote

About The Position

Chainguard is seeking an Engineering Manager to lead its Internal Developer Platform team. This team is responsible for CI/CD, developer tooling, infrastructure automation, and the emerging Agentic Engineering Platform, which facilitates collaboration between engineers and AI agents in software development. The role involves leading a team of senior engineers, defining the technical roadmap for developer productivity and AI-native engineering, and ensuring efficient, safe, and low-friction software delivery for all Chainguard engineers. The position reports to the Senior Director of Platform & Integrations and is ideal for a technical leader with expertise in modern platform engineering, SRE principles, and a passion for enabling senior engineers to perform at their best.

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.
• 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.

Nice To Haves

• 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.

Responsibilities

• Developer Experience: Continuously improve systems, workflows, tooling, and AI capabilities to enhance engineer productivity.
• Golden Paths: Create self-service platform capabilities and AI-native workflows for engineers to focus on customer problems.
• CI/CD Excellence: Own and evolve software delivery systems for fast, reliable, secure, and scalable builds, testing, releases, and deployments.
• Platform Reliability: Drive operational excellence using SLOs, observability, automation, capacity planning, and continuous improvement.
• Agentic Engineering Platform: Own and evolve the platform enabling AI use across the software development lifecycle, including shared infrastructure, tooling, context management, evaluation frameworks, and guardrails.
• Team Leadership: Lead a team of senior engineers, removing obstacles, creating clarity, and fostering an environment for exceptional work.
• Infrastructure Automation: Advance Infrastructure as Code, GitOps, and platform automation for consistency and reduced operational burden.
• Technical Strategy: Define and execute the roadmap for Internal Developer Platform and Agentic Engineering Platform, balancing immediate needs with long-term investments.
• Cross-Functional Collaboration: Partner with application teams, security teams, and leadership to understand needs and prioritize investments.
• Incident Leadership: Participate in operational reviews, postmortems, and continuous improvement, promoting a strong reliability culture.
• AI Engineering Enablement: Drive AI adoption across Engineering, identifying opportunities, establishing best practices, and improving productivity.

Benefits

• Stock options upon hire and promotion, with 10 years to exercise.
• 100% covered health, vision, and dental insurance premiums for employees and dependents.
• Flexible Time Off.
• 18 weeks paid parental leave for birthing parents and 12 weeks for non-birthing parents.
• Flexible & Remote-First Culture with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed