Apple-posted 2 months ago
Mid Level
Austin, TX
5,001-10,000 employees
Computer and Electronic Product Manufacturing

People at Apple don't just build products - they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything that we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. Data powers Apple's software, services, and product development. Apple's Data Services Org. Provides a diverse range of data solutions, including SQL and NoSQL databases, search engines, and streaming platforms with GenAI capabilities. Apple's Data Services team supports building data platforms for several large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the insights & value. We do all this with an exceptional group of software engineers, data scientists, SRE/DevOps engineers, and managers. We are looking for a talented and dedicated big data engineer to join our team to bring passion for infrastructure and distributed systems to build world-class data platforms/products at a very large scale across multiple cloud environments running on S3, Kafka, Flink, Spark, LLMs and AI/ML! You would work on developing/deploying large-scale big data analytics or streaming applications and services.

  • Develop and deploy large-scale big data analytics or streaming applications and services.
  • Provide incident resolution for all technical production issues.
  • Create and maintain accurate, up-to-date documentation reflecting configuration.
  • Write justifications, train users on complex topics, and document procedures.
  • Interact with other Apple staff and management.
  • Provide guidance to improve the stability, security, efficiency, and scalability of systems.
  • Administer and ensure the proper execution of the backup systems.
  • Master's Science in Computer Science or equivalent.
  • 2+ years of experience in designing and managing large scale production grade deployments both in on-prem and in the cloud (any one of AWS, Azure, and GCP) with a focus on their included ML services.
  • Basic understanding of distributed database architectures with MPP / OLTP.
  • Strong understanding of data structures & algorithms - skips lists, B-trees and inverted indices.
  • Strong problem solving skills, with the ability to break down complex problems into manageable components to develop innovative solutions.
  • Effective time management skills with the ability to prioritize tasks, manage multiple projects and meet deadlines.
  • Excellent verbal and written communication skills, able to work collaboratively with cross-functional teams, including data scientists, program managers and engineers.
  • Familiarity with logging and observability technologies such as Splunk, Grafana, Prometheus or similar technologies.
  • Experience with containers and container orchestration platforms such as Docker, Kubernetes, or similar.
  • Experience in Open Source software development using GitHub and CI/CD is desirable.
  • Exposure to data pre-processing, feature extraction and data visualization tools is preferred.
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