Software Engineer, SDLC Analytics

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$220,900 / yr
Posted
37 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $184k
$129k most similar roles pay here $231k

This role pays more than 63% of similar roles. Most pay $138,750–$202,675 — the shaded band above. At the midpoint, this role pays about $184k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Software Engineer, SDLC Analytics

As an experienced Software Architect or Senior Software Engineer on the SDLC Analytics team at Apple, you will design and build a comprehensive telemetry and analytics platform that integrates data from various software development lifecycle stages, including source control, build systems, deployment services, and monitoring tools. Your daily tasks include engineering unified schemas for SDLC events, designing fault-tolerant data pipelines using Kafka and Airflow, and implementing scalable database solutions optimized for time-series storage and dimensional modeling. You will also develop analytics capabilities to measure engineering effectiveness through DORA metrics and create intuitive visualizations for stakeholders. The role requires proficiency in Java, SQL, and a strong understanding of event streaming platforms and database technologies. Ideal candidates have experience with SDLC tooling such as Git and CI/CD pipelines, and can apply software engineering best practices to deliver robust data-intensive systems at scale.

What you'll do

  • Design unified schemas for SDLC entities and events using Apple's CDEvents specification.
  • Build fault-tolerant data pipelines for real-time streaming and API-based ingestion of SDLC telemetry.
  • Architect scalable database solutions optimized for time-series storage, dimensional modeling, and event streaming.
  • Implement analytics capabilities to measure engineering effectiveness through DORA metrics.
  • Develop intuitive visualizations and custom tooling for anomaly detection and continuous improvement.

What we're looking for

  • 4+ years of experience building and operating production data systems.
  • Strong background in software engineering and data modeling techniques.
  • Expertise in event streaming platforms like Kafka and pipeline orchestration tools.
  • Proficiency in Java, SQL, and full-stack data technologies from ingestion to serving.
  • Deep understanding of database technologies for operational and analytical workloads.

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