Job Description
The Apple Services Engineering (ASE) team builds and provides systems that power many of Apple’s customer-facing services - including iCloud, iTunes, Siri and Maps. We deliver the core infrastructure primitives that enable teams across Apple to build services our customers rely on every day.
This is a ground-up effort to build a highly reliable, self-managing and scalable storage layer that can support exabyte-scale data and diverse access patterns. This new layer will also serve as the foundation for adopting and optimizing next-generation storage devices, enabling Apple to leverage emerging drive technologies with new performance and density characteristics. If you enjoy designing distributed systems that operate as a cohesive storage fabric, we want to hear from you.
We are creating a unified storage abstraction layer that will serve as the foundational layer for Apple’s distributed object, block, and future file storage systems. This new layer will provide a consistent API, common metadata model, scalable data distribution and high-performance IO path for workloads running in Apple Cloud.
Engineers on this team will work on the core of a unified storage layer designed to manage data objects, placement, redundancy and IO operations across thousands of nodes. You will help define the fundamental building blocks that unify different storage backends—object, block and future file interfaces—behind a single, extensible abstraction.
You will design consistent metadata services, build scalable data distribution algorithms, implement robust replication and fault-recovery mechanisms, and develop client-side libraries and protocols that expose a uniform interface to workloads across Apple.
Each component is being designed to support self-healing behaviors, automatic rebalancing and high-throughput, low-latency access paths.
We are looking for engineers who enjoy building foundational storage systems, solving complex distributed coordination challenges, and shaping a platform that will underpin Apple’s cloud storage strategy for many years.
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