Engineering Manager - ASE Data Services

Join ASE Data Services and help build and evolve the databases that power Apple's services at massive scale. We build and run high-performance, distributed datastores, relying heavily on open source technologies and contributing back to the projects we depend on.

In this role, you will lead a talented group of engineers based in China who are matrix-embedded (dotted line) into various global Data Services teams. You will play a pivotal role in bridging local operations with our broader Data Services leadership outside of China, ensuring your team delivers world-class distributed datastores and database proxy solutions.

If you are an exceptional communicator with a deep background in software engineering, database technologies, and impactful people management, this is your opportunity to shine!

As a leader in this organization, you will lead and empower a team of skilled engineers designing, building, and operating cutting-edge features for large-scale distributed database systems, to support Apple’s operations in China. Your team members will be embedded across multiple Data Services squads, working on everything from client libraries and high-performance proxy services to core database engines and control planes.

Bachelors degree in Computer Science or a related field. 5+ years of experience in software engineering with a proven track record of technical impact. 3+ years of engineering management experience, successfully leading high-performing software development teams.

Strong understanding of databases, data services, and distributed systems fundamentals (e.g., relational, NoSQL, data replication, caching). Exceptional communication skills, with a demonstrated ability to work effectively across time zones, bridging local teams with global, cross-functional leadership. Deep expertise in people management, with an understanding of local HR compliances, regulations, and team advocacy.

Experience managing engineers in a matrixed or embedded model (dotted line reporting) across multiple global workstreams. 8+ years of total experience in software engineering, specifically within highly scalable distributed services. Hands-on experience building and operating distributed databases or storage systems at scale (e.g., Cassandra, Kafka, Redis, Zookeeper).

Familiarity with capacity planning, observability, and performance tuning for massive-scale stateful workloads. Full product lifecycle ownership mindset (design → implementation → production) with experience navigating ambiguity in complex environments. A history of driving initiatives that optimize developer experience, operational reliability, and large-scale data delivery.