Service Reliability Engineer - ASE Data Infra SRE

Job Description

The Service Reliability Engineer (SRE) role in Apple Services Engineering requires a mix of strategic engineering and design along with hands-on, technical work This SRE will configure, tune, and fix multi-tiered systems to achieve optimal application performance, stability and availability We manage jobs as we'll as applications on bare-metal and cloud computing platforms to deliver data processing for many of Apple s global products Our teams work with exabytes of data, petabytes of memory, and tens of thousands of jobs to enable predicable and performant data analytics enabling features in Apple Music, TV+, Appstore and other world class products If you love designing, running systems that will impact millions of users, then this is the place for you The Main Responsibilities for this position include: Support Java-based applications & Spark/Flink jobs on Baremetal, AWS & Kubernetes Ability to understand the application requirements (Performance, Security, Scalability, etc) and assess the right services/topology on AWS, Baremetal & Kubernetes Build automation to enable self healing systems Build tools to monitor high performance & alert the low latency applications Ability to troubleshoot application specific, core network, system & performance issues - Involvement in challenging and fast paced projects supporting Apples business by delivering innovative solutions - Monitor production, staging, test and development environments for a myriad of applications in an agile and dynamic organisation BS degree in computer science or equivalent field with 5+ years or MS degree with 3+ years experience, or equivalent. At least 5 years in a Site Reliability Engineering (SRE), DevOps role 5+ years of running services in a large-scale *nix environment Understanding of SRE principles and goals along with prior on-call experience Extensive experience in managing applications on AWS & Kubernetes Deep understanding and experience in one or more of the following - Hadoop, Spark, Flink, Kubernetes, AWS Preferred Qualifications Fast learner with excellent analytical problem solving and interpersonal skills Experience supporting Java applications Experience with Big Data Technologies Experience working with geographically distributed teams and implementing high level projects and migrations Strong communication skills and ability to deliver results on time with high quality