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Software Engineer, SDLC Analytics

Apple - Cupertino, United States of America

Posted Apr 9, 2026

Benefits

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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Software Engineer, SDLC Analytics Cupertino, United States of America Do you love building elegant systems that make engineering teams measurably better? Do you like transforming complex data into actionable insights? Are you passionate about applying software engineering rigor to the measurement and optimization of the development lifecycle itself? As part of our Software Development Life Cycle (SDLC) team, you'll architect and engineer a comprehensive telemetry and analytics platform that provides deep telemetry across the entire software development lifecycle. Your work will empower engineering teams across Apple to quantify their performance, identify bottlenecks through engineered observability, and continuously improve their development workflows. We are seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background in building data-intensive systems to join our team. The ideal candidate brings production-grade software engineering discipline to data systems - Architecting data models for our scalable SDLC event platform that serves as the backbone for data pipelines, and engineering scalable data infrastructure and analytics capabilities across one of the world's largest software organizations. Modern software development at Apple spans multiple specialized platforms - source control, build system, deployment orchestration, artifact management, and observability tooling. Each generates rich telemetry, but analyzing these signals in isolation yields limited insight. You'll solve this by engineering a unified analytics platform that correlates events across the entire development pipeline, turning fragmented data into a coherent picture of engineering effectiveness. Data Model & Schema Engineering: Engineer unified schemas representing SDLC entities and events across all platforms. Define and

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