Full-Stack Software Engineer - Device Telemetry

Summary

Build and iterate on a data analytics platform that ingests, parses, and analyzes diagnostic and usage data from Apple devices. Core stack includes web apps, REST APIs, Postgres, Redis, Kubernetes, stream processing, and public cloud, working cross-functionally with data scientists.

Apple's Data Analytics team is looking for a motivated and driven web backend developer to join us in creating the future of our data analytics platform. We need a talented engineer on our small, tight knit team building services and applications to parse and understand data collected from Apple users around the world.

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.

We collect, analyze, and produce insights from diagnostic and usage data from Apple devices. Our data is used to improve products and services and inform the overall direction of Apple platforms.

Our engineering responsibility spans device, data collection, compute, and query and visualization interfaces. As part of the Data Analytics team, you will similarly work cross-functionally to design, build, and iterate on our stream processing and ingestion pipeline.

Collaborating with data scientists and engineers across Apple, you will capture and refine requirements, validate design decisions, and implement. This role has high visibility and impact within the Apple Software Engineering organization.

Minimum Qualifications

  • Bachelor of Science in Computer Science or relevant work experience.
  • 3+ years experience implementing web apps and rest APIs
  • Extensive knowledge of databases like Postgres and/or cache layers like Redis
  • Proficiency with container-based orchestration (Kubernetes, EC2, Mesos, etc.)
  • Familiarity with public cloud platforms (e.g. AWS, GCP, or Azure)
  • Demonstrated commitment to CI/CD

Preferred Qualifications

  • Excellent verbal and written communication skills
  • Exposure to UX frameworks (e.g React, Angular, Typescript, etc.)
  • Comfortable and adaptable in a dynamic/informal environment with shifting priorities
  • Data visualization experience
  • Presto/Trino query engine experience
  • C++ proficiency

See also

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