Software Engineer, SDLC Analytics

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.

Do you have experience in Software engineering?, Do you have a Bachelor’s degree?, 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

4.14.1 out of 5 stars Cupertino, CA $147,400 - $220,900 a year, Pulled from the full job description

• Employee stock purchase plan
• Health insurance
• Retirement plan
• Dental insurance
• RSU, 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 $147,400 and $220,900, 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 including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.