Vacancy expired!
Job SummaryData Infrastructure team within the Siri organization powers analytics, experimentationand ML feature engineering to power Siri we all love in our Apple devices. The missionof the Data Infrastructure org is to provide cutting edge, reliable and easy to useinfrastructure for ingesting, storing, processing and interacting with data and help theteams that build data intensive applications be successful.The Data Infrastructure team is looking for engineers who wants to bring their passionfor infrastructure to build world class infrastructure products. You will build and leadour data infrastructure team and help the members of your team grow both technicallyand professionally. You will work with many cross functional teams and lead theplanning, execution and success of technical projects with the ultimate purpose ofimproving Siri experience for Apple customers.Key Qualifications• 3+ years of experience scaling and operating distributed systems like big dataprocessing engines (e.g., Apache Hadoop, Apache Spark), streaming systems(e.g., Apache Flink, Apache Kafka), or resource management systems (e.g.,Apache Mesos, Kubernetes)• Fluency in Java, Scala or a similar language• Ability to debug complex issues in large scale distributed systems• Passion for building infrastructure that is reliable, easy to use and easy tomaintain• Excellent communication and collaboration skills• Experience with Apache Spark programming, ETL, data warehousingenvironments is helpful but not requiredDescriptionThe ideal candidate will have outstanding communication skills, proven datainfrastructure design and implementation capabilities, strong business acumen, and aninnate drive to deliver results. He/she will be a self-starter, comfortable with ambiguityand will enjoy working in a fast-paced dynamic environment. Responsibilities willinclude• Build and operate Apple’s largest data infrastructure supporting millions of Siriusers at 100+ PB scale• Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink,Hadoop in both on-premise and AWS environoment• Ensure data infrastructure offers reliable high quality data with consistent SLAswith good monitoring, alerting and incident response and continual investmentto reduce tech-debt• Write code, documentation, participate in code reviews, and mentor otherengineersEducationB.S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent practicalexperienceAn equal opportunity employer that is committed to inclusion and diversity. Wetake affirmative action to ensure equal opportunity for all applicants without regard torace, color, religion, sex, sexual orientation, gender identity, national origin, disability,Veteran status, or other legally protected characteristics.We will ensure that individuals with disabilities are provided reasonableaccommodation to participate in the job application or interview process, to performessential job functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation
Vacancy expired!