Software Development Engineer in Test

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionised entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

This role demands the best and brightest; the ideal candidate will be self- motivated, accountable, technically strong and offers a diverse skillset that aligns with the key qualifications listed above.

You love working in a dynamic fast paced environment, building and maintaining strong working relationships with a variety of partners, including business partners, application owners, project managers, technology and infrastructure teams to get the work done.

You naturally take a deep interest in working closely with business partners to drive the product feature and technology roadmap beyond the first release.

1-2 years of experience of Testing and building Automations.

Drive end-to-end testing: test planning, execution, defect management, and release sign-off

Proficiency with at least one automation framework (Selenium, Playwright, Appium, RestAssured, or equivalent) and relevant Programming language

Collaborate with project managers and business teams to translate requirements into testable acceptance criteria

Masters/Bachelor’s Degree in Engineering / Computer Science / Information Technology.

Familiarity with performance or security testing tools

Strong understanding of software testing fundamentals: test design techniques, risk-based testing, shift-left practices

Strong communication skills; comfortable engaging directly with business stakeholders and translating technical findings into business impact

Experience building or integrating LLM-powered automation (e.g., using generative AI for test data creation, exploratory testing, or defect triage)