Software Engineering Manager, Apple Streaming Platform and Solutions

Imagine what you could do here. At Apple new ideas become great products services and customer experiences quickly. Bring focus rigor and curiosity to your work and help shape the future of Apples data infrastructure. Apple is seeking an experienced software engineer to join the Data Solutions team within Data Services responsible for building and evolving the distributed data systems that power Apples most critical consumer services - including Apple Music TV and Podcasts. Youll work on high-scale streaming and data processing platforms solving hard problems around cross-datacenter replication and getting user data to the edge as fast as possible. Your work will directly impact hundreds of millions of Apple users and the teams that build experiences for them.

Apples Streaming Platform and Solutions engineering team within the broader ASE Data Services organization builds and operates data infrastructure that is reliable scalable and low-latency. The team focuses on real-time data streaming large-scale data processing and optimizing cross-datacenter replication to bring user data to the edge with the smallest possible latency. Apache Kafka plays a central role in our streaming and replication infrastructure and familiarity with its ecosystem is a meaningful advantage. As a leader you will manage mentor and grow engineers responsible for both internal platform needs and upstream open-source contributions. You will oversee technical execution maintain engineering standards and ensure operational excellence across the Kafka ecosystem.

Team Leadership u0026 Mentorship: Actively lead mentor and grow a team of software engineers. Guide technical skill development conduct design and code reviews and foster a culture of technical rigor continuous learning and -On Technical Strategy u0026 Coding: Stay directly involved in technical execution by writing code reviewing pull requests evaluating architectural trade-offs and driving best practices for performance scalability data consistency and fault tolerance in distributed -Regional Alignment: Partner closely with distributed leadership and cross-functional teams across regions to translate business objectives into technical execution unblock dependencies and align team roadmaps with global Excellence u0026 Delivery: Directly participate in architectural reviews incident management and performance tuning to ensure high availability low latency and operational stability for platform services operating at global Growth u0026 Execution: Provide hands-on technical guidance to help engineers navigate complex projects accelerate their career growth and maintain a high standard of engineering execution while supporting a healthy work-life balance.

5 years of experience in software development with at least 3 years in distributed systems or messaging platforms at scale.n2 years of technical leadership experience overseeing complex projects and multiple track record of building and leading infrastructure teams with credibility and in Java Scala or other languages used in Kafka understanding of algorithms data structures fault tolerance and performance for large-scale messaging MS or PhD in Computer Science or a related technical field or equivalent practical experience.

Deep knowledge of Kafka broker internals replication partitioning client libraries and event delivery with distributed systems concepts such as consensus protocols consistency models and fault with multi-datacenter deployments load balancing quota management and tenant background in testing methodologies including fault injection property-based testing and performance to drive operational excellence including monitoring incident response and long-term remediation contributing to open-source projects ideally Apache Kafka or related -on expertise with Apache Kafka internals and distributed system design.