Job Description
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.
Preferred Qualifications
Experience building analytics or telemetry platforms for software development workflows
Hands-on familiarity with SDLC tooling — Git, build systems, CI/CD pipelines, deployment orchestration
Strong software design skills: ability to write clean, testable, maintainable code in a collaborative engineering environment
Some experience using AI-powered solution on analyzing CI/CD data
Strong problem-solving and analytical skills
Ability to work well in a team and communicate effectively with both technical and non-technical stakeholders
Self-motivated and well-organized, with a demonstrated ability to take ownership and drive ambiguous projects to completion
Minimum Qualifications
Minimum 4 years of relevant industry experience
Strong software engineering foundation with significant experience building and operating production data systems
Proven track record of designing, shipping, and maintaining internal or external data-intensive products end-to-end
Deep expertise in data modeling, including time-series and dimensional modeling approaches
Hands-on experience with event streaming platforms (e.g., Kafka) and pipeline orchestration frameworks (e.g., Airflow, Spark)
Proficiency in Java; strong SQL skills for data modeling and pipeline development; comfort working across the full data stack from ingestion to serving
Solid understanding of database technologies for both operational and analytical workloads
BS in Computer Science, Computer Science, or a related technical field
