Apple
Software Development Engineer in Test, Retail and Marcom Engineering
$150K–$278K
Sunnyvale, California · Full-time · Posted Jun 30, 2026
- Experience
- 5 years of relevant industry experience in the US is stated as an alternative to the degree requirement; other experience requirements are not quantified.
- Education
- Bachelor's degree in Computer Science or a related technical field, or equivalent experience (5 years of relevant industry experience in the US).
About the job
Leads test automation and quality initiatives for Apple marketing web applications and APIs, combining scalable testing frameworks, AI-assisted quality tools, and vendor quality operations.
What you'll do
- Architect and maintain reliable automation frameworks and integration, functional, and end-to-end tests for web applications and services.
- Partner on LLM-powered tools for test generation, failure analysis, and quality insights.
- Establish vendor knowledge-management and accountability practices, audit deliverables, and drive quality improvements.
What they ask for
- Bachelor's degree in Computer Science or a related technical field, or 5 years of relevant industry experience in the US.
- Programming fundamentals for large/shared test codebases and experience designing test architecture for asynchronous, event-driven systems.
- Experience automating web application tests with frameworks such as Playwright, WebdriverIO, or XCUITest, and testing RESTful and/or GraphQL APIs.
- Experience with CI/test infrastructure and vendor teams, including shared processes and onboarding standards.
Nice to have
- Deep Playwright or WebdriverIO experience, or familiarity with AI-assisted quality techniques.
- Experience with cross-platform automation, testability, deterministic test data, knowledge management, or vendor/staff-augmentation operations.
Pay
$150,400 to $277,600 USD base pay
Tools
Playwright, WebdriverIO, XCUITest, RESTful, GraphQL, GitHub Actions, Jenkins, Harness
AI focus
Collaborate on AI/LLM-powered quality tooling for test generation, failure analysis, triage, and quality insights; familiarity with agentic or LLM workflows for operational use cases is preferred.
Model-written summary · the original posting is authoritative