Software Engineering Manager - Platform Technologies

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. We are seeking an experienced engineering manager with a background in large-scale distributed systems and data platform engineering in hyper-scale environments. This is a technical, hands-on leadership role in a dynamic and fast-paced environment. The successful candidate will lead a world-class team building the foundational infrastructure and core capabilities that power Apple's security data platform.\\n\\n

Apple Information Security is seeking an extraordinary individual to lead the Platform Technologies team - an engineering team responsible for the foundational ecosystem and core capabilities that power our security monitoring. Platform Technologies designs and develops solutions that enable mission-critical capabilities across the organization, delivering advanced query and indexing capabilities, core platform libraries and APIs, and data integration services that teams depend on to build and operate effectively at scale. This role works closely with peer engineering teams and partner organizations across Apple to ensure the successful design, development, and delivery of platform capabilities. The successful candidate will bring deep technical expertise in distributed systems and data infrastructure, a track record of leading high-performing engineering teams, and the ability to drive a long-term technical vision while executing near-term results.\n

10+ years of industry experience, including 3+ years of management experience leading software engineering teams\nStrong software design, problem solving, and debugging skills with hands-on experience in distributed systems or large-scale data infrastructure\nProficiency in one or more of the following languages: Scala, Python, Go, Swift, or Java\nExperience building or operating data lake, lakehouse, or large-scale analytics platforms (e.g., Spark, Databricks, Delta Lake, Apache Iceberg)\nProven track record of shipping high-quality, production-grade services and platforms\nStrong written and verbal communication: actively listens and communicates clearly and proactively, adapting content and style for diverse audiences including junior engineers, senior staff, and partner teams

Familiarity with indexing and search technologies such as Apache Lucene or Elasticsearch\nExperience with cloud infrastructure and managed services on AWS (S3, RDS, EKS) or other cloud platforms\nExperience with data governance, access control, and multi-tenant platform design\nExposure to GenAI or ML platform engineering, including vector databases, RAG architectures, or LLM-based tooling\nPassion for high-quality code, tests, CI/CD, documentation, and production services\nExperience successfully adapting and applying Scrum/Agile development methodologies\nAbility to cultivate an environment that emphasizes collaboration, accountability, and technical excellence\nThrives in a fast-paced environment and adopts a learning mindset; passion for emerging technologies\nTrack record of driving improvements in platform reliability, performance, and scalability\nAbility to work under pressure and successfully manage difficult situations in a dynamic environment\nBackground in information security, security operations, or security data platforms is a plus