Summary
At Apple, we work every day to build products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Ad Platforms team is seeking a Senior Manager for leading Data Site Reliability Engineering. Our mission is to enable Ad Platforms to deliver advertisements in a reliable and scalable way that results in fantastic user experiences!

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

Description
Design and implement scalable data platforms for our customer facing services

Monitor production, staging, test and development environments for multiple teams in an agile / dynamic fast paced engineering organization

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

Partner with program management, network engineering and other multi-functional teams on the larger initiatives

Work simultaneously on multiple projects contending for your time and understand how to prioritize them accordingly

Build and drive automation capabilities for the organization

Education & Experience
Bachelor's degree in Computer Science/Engineering discipline or equivalent

Master's degree preferred

---