Are you a talented Site Reliability Engineering Manager with a passion for distributed storage systems Ready to be part of a focused and lively team bringing distributed storage technologies to Apples 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 Apples most popular services. Bring passion and dedication to your job and theres no limit to what you can achieve!
Description
The Storage SRE organization is seeking a strong engineering leader to manage Storage focused SRE teams working closely with peer SRE teams and development partners.Youll help build and optimize the Storage stack from the bare metal to the top of the application helping design provisioning systems code deployment monitoring alerting and performance improvements. Together with the team youll help run the storage used by some of Apples largest teams.
Minimum Qualifications
Proven experience in a leadership role within an SRE or DevOps team specifically focused on distributed storage.
Strong background in distributed systems storage architectures and data management.
Deep knowledge of SRE principles including monitoring alerting error budgets fault analysis and other common reliability engineering concepts
Lead initiatives to enhance the scalability and performance of distributed storage systems.
Collaborate with engineering teams to design and implement robust and scalable storage solutions.
Bachelors or Masters degree in Computer Science Engineering or a related field.
Key Qualifications
Preferred Qualifications
Experience with Kubernetes Docker and containerization
Proficient in at least one of these programming languages: Golang Java or Rust
Knowledge of distributed storage (block storage) or similar large scale distributed databases
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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