DESCRIPTION
Apple Services infrastructure is planetary scale. Our Data Platform Site Reliability Engineering team manages the infrastructure and applications on bare-metal and cloud computing platforms to deliver data processing, governance, and storage for many of Apple’s global products and organizations. Our platform teams work with exabytes of data, terabytes of memory, and hundreds of thousands of jobs running millions of executors to support predicable and performant data analytics. Our platform enables key features in Apple Music, TV, Maps, News, and other world class products. Ensuring all of these technologies in geographically distributed data centers work together in harmony presents unique challenges.
MINIMUM QUALIFICATIONS
- BS/MS in Computer Science or Equivalent 5+ years of software development or production operations experience in a large-scale environment
- Proficiency in authoring and releasing code in Go, Python, or Java using common configuration management and software delivery platforms
- Experience operating production applications at scale, including well designed performance testing, HA and disaster recovery concepts, capacity planning, and managing distributed systems on internal and public cloud infrastructure, principally Kubernetes
- Understanding of the Linux Operating System, containers and virtualization, standard networking protocols, and components
- Strong sense of ownership and integrity demonstrated through clear communication and collaboration
- Demonstrates excellent troubleshooting and problem solving skills using the scientific method
PREFERRED QUALIFICATIONS
- Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics or governance technologies such as Flink, Hive, Hadoop/HDFS, Trino, and/or Druid
- Proficiency in managing applications and infra on AWS, GCP and Ali Cloud
- The successful candidate is frustrated with toil and has an acute drive to both automate manual operations and evolve them into automatic processes.