Software Engineer- ASE Enterprise
About The Position
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. 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.
Requirements
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
