Description
In this role, you will own the strategy, roadmap, and architectural direction for a server platform engineering team of 11 engineers, delivering highly scalable, mission-critical distributed systems in support of Apple's sustainability goals. You will directly lead this team, staying technically credible in the underlying code and architecture while driving hiring, growth, and a culture of technical excellence and accountability. You will be cultivating your team's fluency with agentic and generative AI tooling — driving adoption to accelerate delivery velocity and sustain a competitive edge.
Minimum Qualifications
- Proven track record of building, leading, and growing high-performing software engineering teams in control of their production environment
- 10+ years of software engineering experience, including 5+ years in direct people management responsibility, with experience leading a team of comparable size (10+ engineers) and accountability for team-wide technical and people outcomes
- Deep expertise in designing and operating mission-critical, highly scalable distributed systems at production scale
- Demonstrated ability to remain technically credible across your team's systems — engaging in architecture reviews and technical decisions at a level of depth that earns the trust of senior engineers, without requiring hands-on code review
- Experience with hiring pipelines, performance management, career development frameworks, and building inclusive team culture
- Strong background in security, compliance, and governance practices relevant to enterprise-scale platform services
- Track record of influencing cross-functional partners and driving alignment across engineering, product, and operations organizations
- Proficiency with platform-oriented engineering — designing services and infrastructure that other teams adopt as foundational building blocks
- BS Degree in Computer Science or equivalent work experience
Preferred Qualifications
- Hands-on experience with agentic AI frameworks, generative AI tooling, or LLM-integrated developer workflows in a production or near-production context
- Familiarity with energy, sustainability, or carbon accounting domains — including clean energy procurement, emissions tracking, or supply chain transparency systems
- Skilled in driving organizational AI fluency — rolling out AI-assisted development practices, evaluating tooling, and sustaining adoption over time
- Experience operating infrastructure in regulated environments with strict data privacy and compliance requirements
- Background in building internal developer platforms or shared services adopted broadly across a large engineering organization
- Demonstrated ability to translate ambiguous, high-stakes business goals into concrete technical strategy and executable roadmaps