Software Engineer, SDLC Analytics

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$220,900 / yr
Posted
63 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 lead the development of a comprehensive telemetry and analytics platform that integrates data from various software development tools across multiple platforms. Your daily tasks include designing unified schemas for SDLC entities using CDEvents specifications, building fault-tolerant data pipelines with Kafka and Airflow, and creating scalable database solutions optimized for time-series storage and dimensional modeling. You will also develop advanced analytics capabilities to measure engineering effectiveness through DORA metrics, ensuring that your work provides actionable insights for continuous improvement across Apple’s vast software development ecosystem. This role requires expertise in Java, SQL, and a deep understanding of event streaming platforms and database technologies, with a focus on delivering robust, production-grade data systems at scale.

What you'll do

  • Design and engineer unified data models for SDLC entities using CDEvents specification.
  • Build fault-tolerant data pipelines for real-time streaming and API-based event ingestion.
  • Architect scalable database solutions optimized for time-series storage and dimensional modeling.
  • Implement robust analytics capabilities to measure engineering effectiveness via DORA metrics.
  • Develop intuitive visualizations and custom tooling for continuous improvement in SDLC.

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 for data modeling, and full-stack data development.
  • Deep understanding of database technologies for operational and analytical workloads.

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