Data Platform Infra Site Reliability Engineer

At Apple we believe that innovation flourishes in an environment where ideas are challenged collaboration is encouraged and technology is pushed to its limits. This environment is only possible when diverse minds come together bringing unique perspectives and experiences. Our people and their ideas inspire innovation in everything we do. Imagine what you could accomplish here! Join Apple and help us make the world a better an SRE on our team youll own the reliability performance and scale of the distributed storage and data platform systems that power Apples services. Youll debug replication and consensus failures tune systems at petabyte scale and write production code that operates the platform. We firmly believe in ownership with software engineers accountable for the code they write.n

The Apple Services Engineering (ASE) organisation builds and provides systems and infrastructure that fuel Apples services iCloud iTunes Siri and Maps. Our team builds and operates the data platform infrastructure behind them keeping petabyte-scale workloads fast resilient and platform runs on large-scale distributed systems including object stores databases and data pipelines on Linux across private and hybrid cloud. Youll work on storage engines distributed consensus and data-flow internals partnering with development teams on system-wide architecture rather than individual components.n

Experience in managing and scaling large-scale distributed systems in a private or hybrid cloud designing writing and releasing production code in languages such as Go or to debug and reason about how distributed systems fail and perform at to take part in on-call rotations and incident response to keep critical systems healthy.

Contributions to distributed-systems internals open-source data infrastructure or storage/database defining SLIs/SLOs building observability and using error budgets to drive reliability good grasp of Unix internals and networking with data migration disaster recovery or capacity planning at scale.