Senior Engineering Manager, Apple Data Platform

Apple • Cupertino, CA

70d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• Own and drive key initiatives in cost efficiency, business and system observability, cost attribution, and capacity management.

What This Job Offers

• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees