Senior Engineering Manager, PagerDuty

• 10+ years in platform engineering, SRE or DevOps, including at least 5 years managing engineers
• Proven experience leading a GitOps or deployment platform migration across many teams and clusters
• A track record of taking a CI/CD platform from selection to full adoption across an engineering organization
• Deep knowledge of Kubernetes, CI/CD systems and infrastructure as code
• Hands-on use of AI coding agents, with experience changing a pipeline or process because of their impact on delivery speed and stability
• The ability to explain technical tradeoffs to executives in plain language
• We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application

Desirable

• AI has changed how fast PagerDuty writes code. Release Engineering decides how fast, and how safely, that code reaches our customers
• We’re looking for a Senior Engineering Manager to build the delivery system for this new pace: pipelines that give AI agents fast, trustworthy feedback, environments fully defined in Git, and the CI/CD platform we’ll run for years to come
• You’ll lead a team of experienced platform engineers and set the delivery direction for all of PagerDuty Engineering. Reporting to the Director of Infrastructure, you’ll partner closely with our AI-native development program to shape how software gets built and shipped at PagerDuty
• Set the multi-year roadmap for how PagerDuty builds, tests and deploys software
• Lead our GitOps transformation, so every environment is defined in Git and every change is promoted and rolled back the same way
• Bring CI-quality checks into the developer and agent loop, so problems are caught in minutes, before code ever reaches a merge gate
• Give engineers and AI agents short-lived, isolated environments to test changes safely
• Rework code review so people spend their time on changes that carry real risk, with automated checks covering the rest, including verifying that AI-written tests actually test something
• Take our next CI/CD platform from selection to full adoption across Engineering
• Own our delivery metrics, including Change Failure Rate, and report them to engineering leadership monthly, pairing every speed metric with a quality measure
• Keep the cost of CI and AI tooling predictable as usage grows
• Hire, coach and grow senior engineers
• Share what we learn through talks, blog posts and the wider engineering community