Senior Engineering Manager, Apple Data Platform

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Apple Data Platform (ADP) serves as a foundational building block for Apple’s Services, Software, and AI/ML ecosystem, providing advanced data governance, compliance, and scalable data management. It delivers a comprehensive suite of capabilities, including batch and real-time data processing, embeddings management, feature stores, lakehouse architecture, data virtualization, and inference-as-a-service. These technologies empower analytics and AI workflows across Apple’s ecosystem, enabling seamless integration and innovation across products and services.

Leveraging open-source technologies such as Ray, Spark, Flink, and Iceberg across multi-cloud and on-premises environments, the Apple Data Platform powers data-driven intelligence that continuously enhances the customer experience.
We are seeking a Senior Engineering Leader with a passion for delivering scalable, secure, and user-friendly infrastructure to power Apple’s Data and AI platforms.

As a Senior Engineering Leader, you will lead teams responsible for designing, building, and operating a scalable, efficient, and reliable Data and AI Infrastructure Platform across public clouds and Apple data centers. This role will also own and drive key initiatives in cost efficiency, business and system observability, cost attribution, and capacity management.

• 12+ years of software development experience in Data and/or AI platform infrastructure, with a proven track record of building and operationalizing solutions across AWS, Azure, GCP, and on-premises environments.
• 10+ years of engineering management experience, including leading, mentoring, and scaling high-performing technical teams.
• Deep expertise in distributed systems and cloud-native infrastructure, including Kubernetes, serverless computing, and container orchestration.
• Demonstrated success driving data/AI infrastructure cost efficiency through observability, attribution, and collaboration with service, customer, and SRE teams.
• Strong leadership in cross-functional collaboration, driving alignment across engineering, product, and business teams to accelerate adoption and execution.
• BS, MS, or Ph.D. in Computer Science or a related technical field.

• Expertise in AI/ML workload orchestration and scheduling, with a focus on optimizing resource allocation for large-scale training, inference, and data processing pipelines.
• Experience leveraging GenAI agents and tools to optimize infrastructure deployment, automate efficiency initiatives, and enhance developer and operational productivity.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://(Use the "Apply for this Job" box below). Your Rights
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