Apple, Inc.
Apple, Inc.

Senior Software Engineer - Distributed Systems

San Diego, CA, US • Posted 1 day ago • Updated 3 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Team Building
  • Data Collection
  • Visualization
  • Interfaces
  • Data Analysis
  • Software Engineering
  • Computer Science
  • Cloud Computing
  • Orchestration
  • Kubernetes
  • Amazon EC2
  • Google Cloud Platform
  • Google Cloud
  • Apache Flink
  • Apache Kafka
  • Continuous Integration
  • Continuous Delivery
  • Optimization
  • Adaptability
  • Communication
  • Critical Thinking

Summary

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

Undergraduate degree in Computer Science or related field, or equivalent experience

3-5+ years experience working on large distributed systems, ideally on a public cloud platform

Extensive experience with container-based orchestration (Kubernetes, EC2, Google Cloud Platform, etc.)

Practical knowledge of queue/stream consumers like Flink and Kafka

Highly proficient with agentic development techniques

Unwavering commitment to CI/CD

Preferred Qualifications

Exposure to profiling and optimization of scale compute and data pipelines

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

Plus: Production query engine experience (Presto/Trino/Athena, etc.)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: fccdc3136803c197f4557fac94981c01
  • Posted 1 day ago
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