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Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

Apple Inc

  • Sunnyvale, CA
  • 18 days ago

    Highlights

    This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem AWS AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., Chinas Cybersecurity Law and PIPL). The AiDP Data Services Analytics team builds data analytics and search capabilities - provisioning, backup/restore, observability, and self-service - spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc.

    Numbers & Facts

    LocationSunnyvale, CA
    IndustryComputer/IT Services
    Company Size10,000 employees or more
    Year Founded1976
    Websitehttps://www.apple.com/jobs

    Description

    Apples AI & Data Platform (AiDP) Data Services organization is seeking a motivated Software Engineer, Data Analytics focused on providing data analytics and search services. Engineers on this team build data processing platforms and develop required tooling for Apples most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users.

    AI & Data Platforms (AiDP) is IS&Ts engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

    The AiDP Data Services Analytics team builds data analytics and search capabilities - provisioning, backup/restore, observability, and self-service - spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc. This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem AWS AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., Chinas Cybersecurity Law and PIPL). This role requires good communication and collaboration with infrastructure teams and colleagues across a distributed team.Build and run data processing platforms with required monitoring, alerting, and incident management, achieving growing independence

    Build working knowledge of data analytics and search concepts (distributed data processing, fast querying, consistency models) across OpenSearch, ClickHouse, Couchbase, Doris, Milvus, etc.

    Support performance engineering efforts (profiling, tuning) under guidance from senior team members

    Assist with service management across bare metal, virtualized (EC2, AliCloud ECS), and containerized (K8s) style platforms

    Execute and support data migration tasks across hybrid clouds, including validation and rollback support

    Build understanding of operating systems and datacenter architecture concepts relevant to transactional workloads

    Produce and maintain clear documentation - Runbooks, architecture diagrams, and migration playbook updates

    Support compliance with local data residency and regulatory requirements applicable to China-based infrastructure3+ years experience in data analytics and/or data search space

    Experience and knowledge of Java or Python programming languages

    Hands-on production experience with at least one of the following technologies: Solar, Elastic Search, Iceberg, ClickHouse, Doris and/or Couchbase

    Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud and/or AWS)

    Bachelors or Masters degree in Computer Science or a related work experienceSome operational experience with stateful services on Kubernetes

    Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling

    Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems

    Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines

    Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits

    Contributions to open-source database projects or internal data-platform tooling

    About Company

    We bring amazing people together to make amazing things happen.

    We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

    About Apple

    There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

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