Senior Engineering Manager, Apple Data Platform at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Data Infrastructure, AI Platform, Engineering Management, Distributed Systems, Cloud-Native Infrastructure, Kubernetes, Serverless Computing, Container Orchestration, Cost Efficiency, Observability, Cross-Functional Collaboration, AI/ML Workload Orchestration, Resource Allocation, GenAI Agents, Infrastructure Deployment

Industry

Computers and Electronics Manufacturing

Description

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. DESCRIPTION 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. MINIMUM QUALIFICATIONS 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. PREFERRED QUALIFICATIONS 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 Data and AI Infrastructure Platform. Drive key initiatives in cost efficiency, business and system observability, cost attribution, and capacity management.