Software Engineering Manager

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.

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., 10+ years of industry experience, including 3+ years of management experience leading software engineering teams

Strong software design, problem solving, and debugging skills with hands-on experience in distributed systems or large-scale data infrastructure

Proficiency in one or more of the following languages: Scala, Python, Go, Swift, or Java

Experience building or operating data lake, lakehouse, or large-scale analytics platforms (e.g., Spark, Databricks, Delta Lake, Apache Iceberg)

Proven track record of shipping high-quality, production-grade services and platforms

Strong 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

Preferred Qualifications

Familiarity with indexing and search technologies such as Apache Lucene or Elasticsearch

Experience with cloud infrastructure and managed services on AWS (S3, RDS, EKS) or other cloud platforms

Experience with data governance, access control, and multi-tenant platform design

Exposure to GenAI or ML platform engineering, including vector databases, RAG architectures, or LLM-based tooling

Passion for high-quality code, tests, CI/CD, documentation, and production services

Experience successfully adapting and applying Scrum/Agile development methodologies

Ability to cultivate an environment that emphasizes collaboration, accountability, and technical excellence

Thrives in a fast-paced environment and adopts a learning mindset; passion for emerging technologies

Track record of driving improvements in platform reliability, performance, and scalability

Ability to work under pressure and successfully manage difficult situations in a dynamic environment

Background in information security, security operations, or security data platforms is a plus