More jobs:
Site Reliability Engineering Manager, Storage - Services Engineering
Job in
Cupertino, Santa Clara County, California, 95015, USA
Listed on 2026-06-01
Listing for:
Apple
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Systems Engineer
Job Description & How to Apply Below
** Role Number:*
* ** Summary*
* Are you a talented Engineering Manager with a passion for distributed storage systems? Ready to be part of a focused and lively team bringing distributed storage technologies to Apple's infrastructure? At Apple, scale is huge and impact is enormous. Join our team and be part of our mission, which is to power storage behind many of Apple's most popular services. Bring passion and dedication to your job and there's no limit to what you can achieve!
** Description*
* The ASE Storage team is seeking a strong engineering leader to manage SRE teams focused on providing foundational block storage to various compute platforms, working closely with peer SRE teams and development partners.
** Minimum Qualifications*
* + Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ Proven experience in a leadership role within a Storage Software Engineering or SRE team specifically focused on distributed storage.
+ Strong background in distributed systems & Block Storage.
+ Deep knowledge of SRE principles, including monitoring, alerting, error budgets, fault analysis, and other common reliability engineering concepts
+ Collaborate with cross functional teams to design and implement robust and scalable storage solutions.
+ Ability to lead teams spread across geographic regions.
** Preferred Qualifications*
* +
Experience with Kubernetes, Virtualization, and containerization
+ Proficient in at least one of these programming languages:
Golang, Java or Rust
+ Familiarity with CI/CD pipelines and infrastructure as code (Terraform, Ansible).
+ Knowledge of security best practices and compliance requirements in storage systems.
+ Understanding of data durability, consistency models, and storage performance optimization techniques.
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