Senior Software Engineer - Distributed Systems at Apple

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Distributed Systems, Data Analytics, Software Development, Stream Processing, Ingestion Pipeline, Container-based Orchestration, Kubernetes, EC2, Mesos, Flink, Kinesis, CI/CD, Big Data Query Engine, Presto, Trino, Athena

Industry

Computers and Electronics Manufacturing

Description

Are you ready to embrace massive scale? Undaunted ingesting petabytes of raw data each day from more than a billion customer devices? Apple's Data Analytics team is looking for a motivated and driven distributed systems engineer to work on our device telemetry platform. We need a talented software developer to join our tight-knit cross-functional engineering team, building services and applications to parse, persist, and understand how Apple customers use their devices. DESCRIPTION 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 BS degree in Computer Science, equivalent field or equivalent work experience 5+ years SW development experience Have worked on large distributed systems, ideally on a public cloud platform like AWS Extensive experience with container-based orchestration (Kubernetes, EC2, Mesos, etc.) Practical knowledge of queue/stream consumers like Flink or Kinesis Exposure to profiling and optimization of scale compute and data pipelines Unwavering commitment to CI/CD PREFERRED QUALIFICATIONS Comfortable and adaptable in a dynamic/informal environment with shifting priorities Excellent verbal and written communication skills Self-motivated and dedicated with creative and critical thinking capabilities Big data query engine production experience (Presto/Trino/Athena, etc.)

Responsibilities

The engineer will design, build, and iterate on the stream processing and ingestion pipeline for device telemetry data, collaborating cross-functionally to capture requirements and validate designs. Responsibilities include building services and applications to parse, persist, and understand customer usage data collected from devices.