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Apple Senior Manager Data Site Reliability Engineering Ad Platforms 
United States, California, Cupertino 
559981

13.06.2024
Description
Deploy and scale Hadoop infrastructure to support data pipeline and related services Build infrastructure capabilities to improve resiliency and efficiency of the systems and services at scale Drive data infrastructure / pipeline, services and upgrade/migration projects from start to finish Support in Hadoop / HDFS infrastructure day today operations, administration and maintenance Data cluster monitoring and troubleshooting Capacity planning, management, and troubleshooting for HDFS, YARN/MapReduce and Spark work loads Participate in rotational on-call schedule Work simultaneously on multiple projects contending for your time and understand how to prioritize them accordinglyBuild and drive automation capabilities for the organization
Key Qualifications
  • Expert understanding in Linux based systems and deep expertise in Hadoop/YARN/Spark based technologies
  • Hands on experience with AWS /EMR, S3, Glue, Athena and Kubernetes Infrastructure
  • Expertise in designing, implementing and administering large Hadoop clusters and related Infrastructure such as Hive, Spark, HDFS, HBase, Oozie, Presto, Flume, Airflow and Zookeeper
  • 5+ years managing clustered services, distributed systems, production data stores
  • 5+ years leading teams in multiple locations
  • Experience in managing the life cycle of data services from inception and design to deployment, operation, migration, administration and sunsets
  • Experience in running Machine Learning pipelines (Training models, experimentation) and Jupyterhub/GPU compute/pytorch Infrastructure
  • Cloudera CDH5/CDH6/CDP cluster management and prior capacity planning experience for large scale multi tenant clusters
  • Ability to code well in at least one language (Shell, Ruby, Python, Java, Perl)
  • Experience in setup / management of security infrastructure such as Kerberos
  • Good work attitude and tenacious troubleshooting/analytical skills
  • Multi-datacenter deployment / Disaster Recovery experience is a plus
  • Prior Advertising and related data pipeline (click stream etc.) experience is a plus!
  • A passion to reinforce and enrich an engineering team environment, driving team engagement and satisfaction and most meaningfully, a sense of humor and an eagerness to learn
Education & Experience
Bachelor's degree in Computer Science/Engineering discipline or equivalentMaster's degree preferred
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $183,400 and $316,900, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.