Job description

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. 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 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)

Requirements

Must-haves

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
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)

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonswiftgoaidockerkubernetes

Platform: apple
Effort: medium