Senior Software Engineer, SDLC Analytics

Apple · Location Cupertino · $150,400–$225,300 (stated in the posting)

Senior Software Engineer, SDLC Analytics
Cupertino, California, United States
Software and Services
Cupertino, California, United States
San Diego, California, United States
Work Locations (2)
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Summary
Posted:
Oct 20, 2026
Role Number:
200671850-0836
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.
Description
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.

Responsibilities
Data Model & Schema Engineering: Engineer unified schemas representing SDLC entities and events across all platforms. Define and standardize event contracts using Apple's CDEvents specification, model relationships between applications, services, deployments, and incidents, and architect a data model that cleanly supports both real-time streaming and batch analytics workloads.
SDLC Platform Integrations: Design for fault tolerance, and schema evolution. Design, build, and own data pipelines that reliably ingest events from source control, build systems, deployment services, test platforms, artifact registries, and monitoring systems. Leverage the CDEvents Platform architecture for event ingestion, implement robust validation and enrichment pipelines, and handle both real-time streaming (Kafka) and API-based data access patterns with production-quality reliability and observability.
Analytics Infrastructure & Database Architecture: Architect and implement scalable database solutions optimized for SDLC analytics — including time-series storage for deployment events and metrics, dimensional modeling for applications and teams, event streaming for real-time dashboards, and a data warehouse layer for historical analysis and trend identification. Apply software engineering best practices: versioning, testing, CI/CD, and operational runbooks.
Analysis, Tooling & Reporting: Build first-class analytics capabilities to measure engineering effectiveness through DORA metrics (Deployment Frequency, Lead Time to Change, Change Failure Rate, Mean Time to Recover). Partner with stakeholders to deliver intuitive visualizations, implement anomaly detection, and ship custom analytics tooling that drives continuous improvement across engineering organizations.
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
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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits

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