Storage Systems Engineer, Software Delivery & Technologies

The Storage Systems Engineer role, within the Software Delivery & Technologies (SD&T) organization, is at the core of the Apple software release process. This Software Engineering Systems role is responsible for developing storage systems, placing storage services into production, and applying reliability engineering design to our storage infrastructure, which is used by software engineers to develop Apple software for our customers around the world. Having depth and breadth of knowledge of storage infrastructure in a large-scale distributed environment is a strength you'll need. If you are passionate about solving complex distributed storage systems at scale, we want to hear from you!

The Storage Systems Engineer is part of the SD&T Enterprise team, which is responsible for building and managing a portfolio of services relied upon by Apple R&D. Our storage platforms are at the foundation in hosting Apple source code management and collaboration tools, used by Apple software engineers world wide to develop, test, and release Apple software. As our Storage Systems Engineer, you will drive design, development, and debugging of reliability, performance, and security engineering of our on-premise storage infrastructure, instrument observability of storage and enterprise services, lead service incidents to resolution, and report on SLI/SLO metrics for visibility across the organization.

Minimum Qualifications

• Experience in designing distributed storage systems for reliability, scalability, security, and performant HA/DR

• Experience implementing and troubleshooting distributed systems across storage, networking, and security

• Incident management experience in managing customer-facing storage systems in 24/7 environment

• Excellent judgment and integrity with ability to make timely and data-driven decisions

• Capacity to adapt to changing requirements and anticipate the needs of stakeholders

• Education: Bachelor's in Computer Engineering, Systems Engineering, or Computer Science, or equivalent work experience

• Programming Language: Python, Swift, Go, or similar

Preferred Qualifications

• Uses agentic AI workflows regularly for triaging incidents and root cause analysis

• Applies agentic AI coding tools for engineering development and test validation

• Experience as storage administrator (e.g. NFS filesystem, S3 object)

• Experience with container platforms (e.g. Docker, Kubernetes, or similar)

• Experience with monitoring and alerting (e.g. Prometheus, Grafana, or similar)