Expert command of git: branching models, merge strategies, cherry-pick and conflict resolution, history analysis Direct experience designing, operating, or significantly improving a CI/CD system in a multi-project environment Proficient in scripting languages - Python and Bash expected; additional languages a plus Ability to triage multi-project build and integration failures and communicate root cause clearly Strong cross-functional collaboration skills - comfortable working between engineering, QA, and program management Comfortable operating under ambiguity: can prioritize, communicate, and drive progress before all the facts are in A willingness to take ownership and drive projects to completion Genuine curiosity about AI tools and a clear interest in applying them to real engineering problemsExperience managing a large repository portfolio (50+ repos, simultaneous release branches) Passion for developer experience: CI latency, test reliability, and making it easy to ship confidently Experience with Apples XBS/Luxon build system or equivalent enterprise-scale build orchestration Background in AI, ML, or intelligent assistant platforms (Siri domain knowledge is a plus) Familiarity with on-device or hardware-in-the-loop test automation macOS, iOS, or UNIX development environment experience Hands-on experience using AI tools in daily engineering work and the judgment to know their limits. Coordinate Siri software submissions across multiple simultaneous Apple platform release trains Triage and resolve failures in large multi-project integration builds spanning dozens of projects across the Siri stack Manage branching, tagging, merge, and cherry-pick workflows across 100+ Siri repositories Own and evolve CI/CD tooling and automation workflows to improve build quality and developer velocity Partner with development, QA, and EPM teams to unblock submissions, resolve blockers, and communicate status clearly Document integration processes and policies; drive adoption and compliance across engineering teams Identify systemic quality gaps and process opportunities; drive improvements from proposal through full adoptionBS/MS in Computer Science or related engineering discipline, or equivalent experience.