Job Description

Imagine a role where you could use your knowledge and skills to have a broader impact than anywhere else, and where you could make your own dent in the universe.
Apple’s Sales Engineering teams build the systems that enable any potential customer to have the greatest store experience, wherever they are in the world, and ensure that anyone selling Apple devices can do their best work supporting clients. If you’re interested in understanding how things operate at scale — across hundreds of thousands of points of sale — and how the Apple experience is delivered globally, this role might be for you.

As an Early Careers SDET in Sales Engineering, you will help ensure the quality of applications and services used by our channel partners, in Apple Stores, and by internal teams across the business. Our main products include DCOTA (Digital Content Over The Air), which manages over 1.4 million devices in our partners’ stores, and StoreFront, the go-to app for partner staff to manage their stores — covering marketing campaigns, fulfilment, ticketing, and support.
You will work across our full stack — testing backend APIs, web frontends, and native iOS applications — with a focus on making smart decisions about what to automate and what to validate manually. Working alongside senior SDETs and software engineers, you will help the team move from repetitive manual testing toward intelligent, maintainable automation, while ensuring nothing ships without the right level of confidence.

We value engineers who see AI as a natural part of modern quality engineering — someone who thinks about how to generate test cases from specifications, automate UI and API tests from well-defined test documents, and continuously improve how the team validates software.

Preferred Qualifications

B.S. or M.S. in Computer Science or equivalent experience; non-traditional backgrounds are valued
Experience with test automation frameworks and CI/CD integration
Familiarity with performance and load testing concepts
Experience using AI tools to generate or maintain test artefacts

Minimum Qualifications

Working knowledge of at least one programming or scripting language, with the ability to write and maintain test automation code
Understanding of test design principles — knowing how to write effective test cases and when to automate them
Familiarity with software development lifecycles and how quality fits into them
Curiosity about how AI can transform quality engineering practices