Sr Software Engineer - Customer Systems, Information Systems & Technology (IS&T)

Summary

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. From Apple ID to Apple’s website to data centers around the globe, IS&T’s engineers, designers, and creators manage the massive systems and services that power Apple. IS&T is the engine behind everything Apple does for employees and customers. It’s not traditional IT — it’s Apple’s central nervous system. From supporting 2.5 billion active Apple devices to securing every transaction, download, and interaction, IS&T makes the impossible feel effortless.

Description

In this role, you will utilize innovative techniques and collaborate effectively with cross-functional teams and business stakeholders throughout the development lifecycle. As a successful member of the team, you will be the domain champion, leading the design and architectural development of complex solutions that enhance the overall customer experience across various sales and service channels. We’re looking for someone with the insight and the passion to bring complex features to life. You will be expected to dive in and take ownership of technology or problem space. You will be the expert and go-to person for your areas of ownership.

As a Lead Solution Architect, your will:

Preferred Qualifications

Track record of leading software projects within a team as a tech lead (TL), while mentoring software engineers.
Hands-on experience leveraging GenAI coding tools (e.g., Claude, Copilot, Codex) to accelerate the software development lifecycle, enhance code quality, and streamline debugging and testing processes.

Minimum Qualifications

7+ years proven experience developing software in a professional capacity. Longer experience preferred.
2+ years proven experience with Java, including proficiency in concurrency, memory management, and performance optimization techniques.
Proficiency in OOP principles, data structures, algorithms, and software design patterns (e.g. GoF), with a proven focus on implementing testable, maintainable, and extensible backend code.
B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.