Software Development Engineer in Test - IS&T
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- Have you previously worked at Apple?
About this role
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Join us, the team that serves as Apple’s nerve center: Apple Information Systems and Technology group! We are looking for Software QE Engineers, who will work closely with other Software Engineers, Project & Product Managers, Product Designers, and other internal & external partners.
There are countless ways you can contribute here, from working on apple. com to software for digital & physical Apple Stores, from software for Apple Care to Apple-wide systems for identity, operations, recruiting, and people management, from software for Apple data centers to Apple-wide data processing & AI/ML systems.
When you join IS&T, you’ll help design and manage systems, frameworks, and apps that countless Apple customers and employees rely on every day. Together, we’ll explore all the ways to improve how Apple operates, freeing our employees to do what they do best, and crafting magical experiences for our customers.
Apple’s IS&T team is looking for a Software Quality Engineer to contribute to design, analysis and certification of our applications. We are looking for someone who is equally passionate about quality and using lightweight processes to consistently achieve it.
The role would also involve interacting with multi-functional engineering and product teams to test features, perform root cause analysis, and drive the quality of customer's experience.
3+ years experience in software quality assurance testing 2+ years of strong practical experience in automation with Java and/or Swift or any OO language Experience in testing API/Web Service, Web apps or Mac/iOS/iPadOS native applicationsS Strong hands-on experience on Core Java, Karate, RestAssured, Playwright/Selenium, Appium/XCUI or similar frameworks
Good knowledge of automation framework architecture, design and development Expertise in QE processes, tools and metrics Experience in Maven/Gradle and Git repositories is required Experience of working in Agile development environment with high quality product Solid understanding of software build tools, CI/CD integrations, deployment process and code quality checking tools Experience in testing microservices and cloud-based applications Understands log scanning to identify errors and root cause, with strong problem-solving, debugging, and analytical skills.
Hands on experience with Load, Resiliency & Performance testing.
Exposure to Jmeter/Gatling/Locust performance testing framework Experience with Testing of AI/ML applications, Security and Accessibility testing is good to have Experience in cloud technologies such as AWS/GCP and containerisation technologies such as Docker or Kubernetes is good to have Hands-on experience leveraging AI agents, MCP servers, and LLM-driven developer tools to accelerate test automation and engineering workflows at scale.
Hands-on experience and working knowledge of building AI-related systems — such as MCP (Model Context Protocol) servers, AI agents, agentic workflows, or LLM-powered tools/integrations — for real engineering use cases