Site Reliability Engineer, Apple Data Platform
Cupertino, CA - USA
Job Summary
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 Apples 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.
Youll need to solve problems that arise using empirical data teamwork and your own unique expertise. nData Platform Services SREs work directly with our partner engineering teams tightly collaborating with the software developers to deliver seamless experiences for our customers. nWe run a mix of open source vendor licensed and proprietary tools which you will use and have opportunities to improve upon. nThe cross functional team collaborates to ensure we apply a consistent incident management process across all data platform services and provide user journey based SLOs derived from exhaustive observability metrics high availability architecture and automation for deployments. nWe think critically and strive to balance long-term optimal solutions with the business priorities for each engineering challenge we face. Good ideas are heard and results are rewarded.
BS/MS in Computer Science or Equivalentn5 years of software development or production operations experience in a large-scale environmentnProficiency in authoring and releasing code in Go Python or Java using common configuration management and software delivery platformsnExperience 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 KubernetesnUnderstanding of the Linux Operating System containers and virtualization standard networking protocols and componentsnStrong sense of ownership and integrity demonstrated through clear communication and collaborationnDemonstrates excellent troubleshooting and problem solving skills using the scientific methodnn
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 in managing applications and infra on AWS GCP and Ali successful candidate is frustrated with toil and has an acute drive to both automate manual operations and evolve them into automatic processes.
Required Experience:
IC
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more