Senior Software Engineer, SDLC Analytics

Experteer Overview Join Apple’s SDLC team to design and build a unified telemetry and analytics platform that measures and optimizes software development workflows. You will architect scalable data infrastructure and data models to turn SDLC events into actionable insights for engineering teams. Your work enables cross-team observability and data-driven improvements across the development lifecycle. This role blends software engineering rigor with analytics to elevate development efficiency and product quality. Compensation / Benefits * Architect and engineer a comprehensive telemetry and analytics platform for the software development lifecycle * Build scalable data pipelines and data infrastructure to ingest, store, and serve SDLC events * Develop time-series and dimensional data models for cross-pipeline analytics * Correlate events across source control, build systems, CI/CD, deployment orchestration, and observability tooling to provide holistic insights * Ship production-grade software and collaborate with cross-functional teams to drive adoption and impact * Explore and apply AI-powered techniques to analyze CI/CD data and improve engineering workflows Tasks * Strong industry experience building data-intensive production systems * Hands-on experience with SDLC tooling (Git, build systems, CI/CD, deployment orchestration) * Proficiency in Java and SQL; comfortable across the full data stack (ingestion to serving) * Experience with event streaming platforms (e.g., Kafka) and orchestration tools (Airflow, Spark) * Proven track record designing and maintaining data-intensive products end-to-end * BS in Computer Science or related field * Strong problem-solving, communication, and ownership orientation * Experience with analytics/telemetry platforms for software development workflows * Ability to work in a team and communicate with technical and non-technical stakeholders * Familiarity with AI-powered solutions in CI/CD data analysis Key requirements *

software and collaborate with cross-functional teams to drive adoption and impact * Explore and apply AI-powered techniques to analyze CI/CD data and improve engineering workflows Tasks * Strong industry experience building data-intensive production systems * Hands-on experience with SDLC tooling (Git, build systems, CI/CD, deployment orchestration) * Proficiency in Java and SQL; comfortable across the full data stack (ingestion to serving) * Experience with event streaming platforms (e.g., Kafka) and orchestration tools (Airflow, Spark) * Proven track record designing and maintaining data-intensive products end-to-end * BS in Computer Science or related field * Strong problem-solving, communication, and ownership orientation * Experience with analytics/telemetry platforms for software development workflows * Ability to work in a team and communicate with technical and non-technical stakeholders * Familiarity with AI-powered solutions in CI/CD data analysis Key requirements *