Requirements

5+ years managing software, systems, platform, or technical engineering teams, with experience developing engineers and expanding their roles.
Strong technical background in automation, engineering platforms, systems, or services at scale.
Experience leading teams responsible for critical tools or services, including monitoring, incident response, troubleshooting, and operational improvements.
Ability to drive automation and replace manual processes with scalable engineering solutions.
Experience managing competing priorities such as customer needs, feature development, service reliability, technical debt, and long-term initiatives.
Strong communication and collaboration skills across disciplines, organizations, locations, and time zones.
BS/MS in Computer Science, Engineering, related field, or equivalent experience.

Nice to Haves

Experience developing or managing internal engineering platforms, automation frameworks, device management systems, developer tools, or self-service capabilities.
Experience supporting large-scale device fleets, automated testing environments, or globally distributed engineering services.
Familiarity with Apple hardware and operating systems, including macOS and iOS.
Experience with Python, Ansible, Git, APIs, or similar automation and software development tools.
Experience with observability, monitoring and alerting, capacity planning, incident management, and ensuring long-term service reliability.
Understanding of networking and service dependencies across hardware, software, devices, and distributed systems.
Proven success in building strong relationships with internal customers and translating their needs into platform improvements and engineering priorities.

Leading a team of engineers responsible for developing and operating platforms, automation, and tools for managing one of Apple’s large-scale device testing environments.
Providing people leadership, technical direction, and ensuring service reliability.
Improving the experience of internal engineering customers by enabling efficient use and support of large-scale testing environments.