Apple’s Retail & Online Stores (R&OS) Quality Engineering team is actively seeking a motivated and innovative Software Development Engineer in Test (SDET) who possesses strong problem-solving abilities and effective interpersonal skills. This role is ideal for a proactive individual who excels in dynamic environments, thrives on ambiguity, and can collaborate effectively with minimal direct supervision. We are looking for a self-motivated teammate who not only flourishes in collaborative environments but also demonstrates initiative and confidence in questioning assumptions. As an integral member of our team, you will be pivotal in developing and maintaining automated test frameworks aimed at optimizing our CI/CD pipeline within our e-commerce environment. You will apply your expertise to craft robust tests that ensure the seamless functioning of our platform’s continuously evolving features. Your role is essential in ensuring that new features implemented on the Apple online store (www.apple.com/shop (http://www.apple.com/shop)) not only meet functional requirements but also uphold the exceptional standards expected of a thriving eCommerce platform.

DESCRIPTION

Design, develop, and maintain automated test frameworks and suites using Java-based frameworks such as JUnit, TestNG to validate backend functionalities of our eCommerce platform. Collaborate closely with software engineers, product managers, and other stakeholders to understand requirements and ensure comprehensive test coverage. Implement and execute test plans and test cases to ensure comprehensive test coverage. Perform API testing using tools like REST Assured to validate data integrity and functionality of backend services. As an automation specialist, you will define requirements and propose solutions to streamline the testing process with a strong commitment to ownership. Engage in in-depth technical dialogues with the engineering team, comprehend software workflows and use cases, and ensure the system’s testability. Self-motivated, able to grasp issues quickly and make educated, critical judgment in the absence of complete requirements. Deliver timely and precise updates on testing status and quality metrics to stakeholders throughout all testing phases, and compile Quality outcomes summary upon project completion. Strong analytical and problem-solving skills to effectively debug and resolve complex technical issues. Advocate for superior software testing practices within the team and foster adoption across the organization, promoting software development methodologies that enhance overall software quality. Adaptability to thrive in fast-paced environments with frequent context switching.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science or equivalent field with a minimum of 3+ years of professional experience in software development, with a strong emphasis on designing, implementing frameworks / APIs, and tools.
• Solid understanding of software development lifecycle, testing methodologies, QA terminology and processes.
• Experience developing in Java, Python familiar with databases, SQL, and scripting languages.
• Knowledge of build tools, version control (Git), and CI/CD pipelines.
• Deep understanding of automated software testing methodologies and lifecycle, including integration testing, component mocking, and dependency injection.
• Experience in testing API/Web Service, Web and iOS native applications. Hands-on experience on Karate, RestAssured, Playwright/Selenium, Appium/XCUI and similar frameworks.

PREFERRED QUALIFICATIONS

• Proven experience as an SDET or similar role, with a focus on testing eCommerce platforms or large-scale web applications.
• Proficiency in programming languages such as Java.
• Analytical, methodical, inquisitive and persistent problem solver committed to driving quality forward.
• Ability to abstract technical details and effectively communicate to audiences at different levels.
• Proficient at balancing multiple efforts simultaneously and meeting strict deadlines.
• Experience with Kubernetes, Docker, AWS services (Lambda, S3, EC2), GCP, or Azure for cloud-based test execution and infrastructure management.Exposure to machine learning tools and their integration with automation frameworks.
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