About the Role

Apple's Enterprise Organization is looking for a creative and diligent Software Engineer to join our Software Delivery Engineering team. Our team's mission is simple: help people work together—and with Apple devices—at scale, whether that means a school district, a small business, or a Fortune 500 company.

You'll work at the intersection of software delivery, automation, and Generative AI, designing intelligent systems. You'll build and enhance the systems that power Apple School Manager and Apple Business Manager, ensuring Apple's enterprise services deliver exceptional reliability, scalability, and security. This role also provides a unique opportunity to leverage the latest advancements in Generative AI to streamline software delivery, accelerate development workflows, and improve service intelligence.

Our team builds the foundations that power Apple's enterprise experiences, ensuring every deployment, build, and service operates with world-class precision and intelligence. Your work will help redefine how Apple engineers deliver and scale software—combining robust infrastructure with the creativity and capability of modern AI. We've got big ambitions, and your work will be instrumental to realizing them and delivering phenomenal products to our users.

Products Our Team Supports

• Apple Business
• Apple Education
• Apple Business Essentials
• Apple Business Manager
• Apple School Manager

Description

The Software Delivery Engineering team within Apple's Enterprise organization builds and maintains the platforms that enable the delivery of Apple's enterprise services at scale. You'll develop innovative solutions that make our internal platforms smarter, faster, and more resilient—enhancing the productivity of engineers and ensuring that enterprise users worldwide receive reliable and seamless experiences.

Responsibilities

• Design and implement core components of Delivery platform that improve build, test, and deployment workflows for Apple's enterprise products.
• Develop internal tools and frameworks that use Generative AI to enhance automation, code analysis, documentation, and developer assistance.
• Explore how LLM-based solutions can improve operational intelligence, such as predictive build health, self-healing deployments, and contextual code guidance.
• Collaborate with service owners, Dev & QA engineers, and SRE teams to ensure software is built and deployed with maximum efficiency and reliability.
• Contribute to architectural discussions and drive initiatives that simplify and scale software delivery across multiple product lines.
• Identify and prototype new AI-driven approaches to improve test coverage, release confidence, and observability in complex distributed systems.

Minimum Qualifications

• 5+ years of experience as a Software Development Engineer
• Strong background in Python, Java, JavaScript, Go/Swift
• Proven experience designing, developing, and maintaining distributed systems and microservices architectures
• Solid knowledge of cloud infrastructure across AWS, GCP, and on-premises environments
• Strong understanding of modern software release strategies and metrics-driven continuous improvement
• Excellent collaboration and communication skills, with a proven ability to work effectively across cross-functional engineering and operations teams

Preferred Qualifications

• Expertise in CI/CD platforms such as Jenkins, GitHub Actions, Spinnaker, and GitLab CI
• Deep understanding of containerization and orchestration technologies, including Docker, Kubernetes, and ECS
• Proficient in using observability and monitoring stacks like Mosaic, Grafana, Prometheus, and Open Telemetry
• Experience applying AI/ML techniques to software delivery, test generation, anomaly detection, and workflow optimization
• Hands-on expertise with Generative AI and Large Language Models (LLMs) for automation, developer tooling, observability, and intelligent data processing

Equal Opportunity

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.