Senior Software Engineering Manager, Energy Services

Apple; San Diego (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple seeks a senior leader to own the strategy, roadmap, and architectural direction for a server platform engineering team of 11 engineers. You will drive hiring, growth, and a culture of technical excellence while maintaining credibility across architecture decisions.

You will cultivate fluency with agentic and generative AI tooling to speed delivery. You will lead initiatives to ensure scalable, mission-critical distributed systems support Apple's sustainability goals and enterprise-scale

Qualifications

• Proven track record of building, leading, and growing high-performing software engineering teams.
• 10+ years of software engineering experience, incl. 5+ years in direct people management.
• Deep expertise in designing and operating mission-critical, highly scalable distributed systems.
• Ability to engage in architecture reviews and technical decisions with senior engineers.
• Experience with hiring pipelines, performance management, and inclusive team culture.
• Strong background in security, compliance, and governance for enterprise-scale platform services.
• Track record of influencing cross-functional partners across engineering, product, and operations.

Responsibilities

• Own strategy, roadmap, and architectural direction for a server platform engineering team.
• Directly lead the team, driving hiring, growth, and a culture of technical excellence.
• Cultivate fluency with agentic and generative AI tooling to accelerate delivery velocity.

Skills

Team leadership

Distributed systems

Security governance

Hiring & coaching

Platform engineering

Education

BS Degree in Computer Science or equivalent work experience

Job description

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