Apple is seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background to join the Software Development Life Cycle (SDLC) Analytics team. This is an on-site role based in Cupertino, CA or San Diego, CA. You will architect and build a telemetry and analytics platform that provides deep telemetry across the entire software development lifecycle, enabling engineering teams to quantify performance, identify bottlenecks, and continuously improve development workflows. Responsibilities include designing scalable data models for the SDLC event platform, constructing production-grade data infrastructure and analytics capabilities, and unifying signals across the development pipeline. You will work with event streaming technologies (e.g., Kafka) and orchestration frameworks (e.g., Airflow, Spark); implement robust data pipelines; and collaborate with teams across Apple to deliver end-to-end data products. Qualifications: minimum 4 years of software engineering experience with production data systems; strong data modeling (time-series and dimensional); hands-on experience with Kafka and orchestration tools; proficiency in Java and SQL; experience with databases for operational and analytical workloads; BS in Computer Science or related field. Preferred: experience building analytics or telemetry platforms for software development; familiarity with SDLC tooling (Git, CI/CD, deployment orchestration); strong software design and collaboration skills; some experience applying AI-powered solutions to analyze CI/CD data; strong problem-solvin

Apple is seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background to join the Software Development Life Cycle (SDLC) Analytics team. This is an on-site role based in Cupertino, CA or San Diego, CA. You will architect and build a telemetry and analytics platform that provides deep telemetry across the entire software development lifecycle, enabling engineering teams to quantify performance, identify bottlenecks, and continuously improve development workflows. Responsibilities include designing scalable data models for the SDLC event platform, constructing production-grade data infrastructure and analytics capabilities, and unifying signals across the development pipeline. You will work with event streaming technologies (e.g., Kafka) and orchestration frameworks (e.g., Airflow, Spark); implement robust data pipelines; and collaborate with teams across Apple to deliver end-to-end data products. Qualifications: minimum 4 years of software engineering experience with production data systems; strong data modeling (time-series and dimensional); hands-on experience with Kafka and orchestration tools; proficiency in Java and SQL; experience with databases for operational and analytical workloads; BS in Computer Science or related field. Preferred: experience building analytics or telemetry platforms for software development; familiarity with SDLC tooling (Git, CI/CD, deployment orchestration); strong software design and collaboration skills; some experience applying AI-powered solutions to analyze CI/CD data; strong problem-solvin