QA Automation Engineer, Store Online

Overview

Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy, and learn everything about Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive.

The Apple Store Online is seeking a Sr. QA Automation Engineer to join the Apple Store Online Operations team. You will manage quality validation work streams for Apple Store Online, Apple Store App, and partner platforms. Our mission is to continuously improve the quality of information and experience presented to Apple’s customers while delivering on the ever-increasing velocity of changes as the Retail digital platform expands into new geographies, languages, and devices.

• Own building content validation test automation frameworks and tools with scale in mind and drive adoption through cross‑functional partnerships.
• Build digital content QA automation that allows us to validate dynamic content at scale across multiple platforms.
• Collaborate with teams across ASO to define, develop, and implement validation automation and tooling.
• Mentor fellow team members on coding best practices and SDLC.

• 5+ years of professional experience in quality engineering as a QA Engineer or SDET, with a strong background in coding and implementing scalable automation frameworks.
• Deep expertise with modern scripting languages such as Python and Node.js.
• Experience writing, maintaining, and executing test automation with familiarity with Continuous Integration tools (e.g. Jenkins).
• Proficiency with Software Version Control systems like Git (Git Hub/Gitlab).
• Experience with API testing and familiarity with server architecture.
• Bachelor’s degree in Computer Science or equivalent.
• Deep knowledge of Agentic AI and LLM driven test frameworks.
• Experience testing AI Models for accuracy, robustness, fairness, and performance.
• Experience developing LLM based automated evaluation frameworks.
• 3+ years of proven ability in machine learning, including hands‑on work with LLMs.