Senior Software Engineer, SDLC Analytics

Apple Inc.; California; On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Senior Software Engineer to architect and deploy a unified SDLC telemetry platform. You will design data models, schemas, and production-grade pipelines spanning source control, build systems, deployments, and monitoring tools to deliver actionable insights.

You will implement scalable databases, real-time and batch processing, and dashboards using DORA metrics. Your work enables engineering teams to measure performance, identify bottlenecks, and continuously improve

Qualifications

• Minimum 4 years of relevant industry experience.
• Strong software engineering foundation with production data systems experience.
• Proven end-to-end data-intensive product experience.
• Deep expertise in data modeling (time-series and dimensional).
• Hands-on with event streaming platforms (Kafka) and orchestration (Airflow, Spark).
• Proficiency in Java; strong SQL for data modeling and pipelines.

Responsibilities

• Data Model & Schema Engineering: unify SDLC event schemas and model relationships across platforms.
• SDLC Platform Integrations: build data pipelines ingesting events from source control, build systems, and deployments; ensure reliability and observability.

Skills

Java

SQL

Data modeling

Kafka

Airflow

Spark

Telemetry platforms

Education

BS in Computer Science

Tools

Kafka

Airflow

Spark

Job description

Senior Software Engineer, SDLC Analytics

Cupertino, California, United States Software and Services

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

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 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

Apple accepts applications to this posting on an ongoing basis.