Apple Inc.
Senior Manager, Data Site Reliability Engineering, Ad Platforms
Apple Inc., Cupertino, California, United States, 95014
Senior Manager, Data Site Reliability Engineering, Ad Platforms
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 QualificationsExpert understanding in Linux based systems and deep expertise in Hadoop/YARN/Spark based technologiesHands on experience with AWS /EMR, S3, Glue, Athena and Kubernetes InfrastructureExpertise in designing, implementing and administering large Hadoop clusters and related Infrastructure such as Hive, Spark, HDFS, HBase, Oozie, Presto, Flume, Airflow and Zookeeper5+ years managing clustered services, distributed systems, production data stores5+ years leading teams in multiple locationsExperience in managing the life cycle of data services from inception and design to deployment, operation, migration, administration and sunsetsExperience in running Machine Learning pipelines (Training models, experimentation) and Jupyterhub/GPU compute/pytorch InfrastructureCloudera CDH5/CDH6/CDP cluster management and prior capacity planning experience for large scale multi tenant clustersAbility to code well in at least one language (Shell, Ruby, Python, Java, Perl)Experience in setup / management of security infrastructure such as KerberosGood work attitude and tenacious troubleshooting/analytical skillsMulti-datacenter deployment / Disaster Recovery experience is a plusPrior 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 learnDescription
Design and implement scalable data platforms for our customer facing servicesMonitor production, staging, test and development environments for multiple teams in an agile / dynamic fast paced engineering organizationDeploy and scale Hadoop infrastructure to support data pipeline and related servicesBuild infrastructure capabilities to improve resiliency and efficiency of the systems and services at scaleDrive data infrastructure / pipeline, services and upgrade/migration projects from start to finishSupport in Hadoop / HDFS infrastructure day today operations, administration and maintenanceData cluster monitoring and troubleshootingCapacity planning, management, and troubleshooting for HDFS, YARN/MapReduce and Spark work loadsParticipate in rotational on-call schedulePartner with program management, network engineering and other multi-functional teams on the larger initiativesWork simultaneously on multiple projects contending for your time and understand how to prioritize them accordinglyBuild and drive automation capabilities for the organizationEducation & ExperienceBachelor's degree in Computer Science/Engineering discipline or equivalentMaster's degree preferredAt 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 $183,400.00 and $316,900.00, and your base pay will depend on your skills, qualifications, experience, and location.
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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.#J-18808-Ljbffr
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 QualificationsExpert understanding in Linux based systems and deep expertise in Hadoop/YARN/Spark based technologiesHands on experience with AWS /EMR, S3, Glue, Athena and Kubernetes InfrastructureExpertise in designing, implementing and administering large Hadoop clusters and related Infrastructure such as Hive, Spark, HDFS, HBase, Oozie, Presto, Flume, Airflow and Zookeeper5+ years managing clustered services, distributed systems, production data stores5+ years leading teams in multiple locationsExperience in managing the life cycle of data services from inception and design to deployment, operation, migration, administration and sunsetsExperience in running Machine Learning pipelines (Training models, experimentation) and Jupyterhub/GPU compute/pytorch InfrastructureCloudera CDH5/CDH6/CDP cluster management and prior capacity planning experience for large scale multi tenant clustersAbility to code well in at least one language (Shell, Ruby, Python, Java, Perl)Experience in setup / management of security infrastructure such as KerberosGood work attitude and tenacious troubleshooting/analytical skillsMulti-datacenter deployment / Disaster Recovery experience is a plusPrior 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 learnDescription
Design and implement scalable data platforms for our customer facing servicesMonitor production, staging, test and development environments for multiple teams in an agile / dynamic fast paced engineering organizationDeploy and scale Hadoop infrastructure to support data pipeline and related servicesBuild infrastructure capabilities to improve resiliency and efficiency of the systems and services at scaleDrive data infrastructure / pipeline, services and upgrade/migration projects from start to finishSupport in Hadoop / HDFS infrastructure day today operations, administration and maintenanceData cluster monitoring and troubleshootingCapacity planning, management, and troubleshooting for HDFS, YARN/MapReduce and Spark work loadsParticipate in rotational on-call schedulePartner with program management, network engineering and other multi-functional teams on the larger initiativesWork simultaneously on multiple projects contending for your time and understand how to prioritize them accordinglyBuild and drive automation capabilities for the organizationEducation & ExperienceBachelor's degree in Computer Science/Engineering discipline or equivalentMaster's degree preferredAt 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 $183,400.00 and $316,900.00, and your base pay will depend on your skills, qualifications, experience, and location.
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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.#J-18808-Ljbffr