QA Automation Engineer, Apple Store Online

Jobs in JS; Cupertino (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple Store Online is seeking a Sr. QA Automation Engineer to design and maintain scalable content validation test frameworks across Apple Store Online, Apple Store App, and partner platforms.

You will own end-to-end automation for quality validation, leverage AI-powered tooling, and partner with software engineers, data scientists, and product teams to raise the bar on reliability and release velocity.

Qualifications

• 7+ years of quality engineering experience with scalable automation.
• Proficiency in Python and Node.js.
• Experience with CI tools, API testing, and Git workflows.

Responsibilities

• Own building and maintaining content validation automation across Apple Store Online, Apple Store App, and partner platforms.
• Drive scalable validation using cutting-edge AI tools and collaborate with cross-functional teams.

Skills

Python

Node.js

Jenkins

Git

API testing

Education

Bachelor's degree in Computer Science or equivalent

Tools

GitHub/GitLab

Jenkins

Job description

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized 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. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.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 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. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.The Apple Store Online is seeking a Sr. QA Automation Engineer to join the Apple Store Online Operations team managing quality validation workstreams 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. You will be part of a global team, driving implementation and maintenanceof highly scalable test automation frameworks for content validations across multiple platforms You are a strong hands‑on QA engineer, deeply detail oriented, and comfortable with change and uncertainty in a dynamic work environment.

Description

This position is ideal for a Sr. QA Automation Engineer who is extremely hands‑on, is passionate about quality, enjoys creating scalable simulation systems, and is eager to contribute to scalable validations using cutting‑edge AI products as well as tooling and frameworks.In this role, you will own building content validation test automation frameworks and tools with scale in mind and drive adoption through cross‑functional partnerships

Minimum Qualifications

• 7+ 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 plus familiarity with Continuous Integration tools (e.g. Jenkins)
• Proficiency with Software Version Control systems like Git (GitHub/Gitlab)
• Experience with API testing and familiarity with server architecture
• Bachelor’s degree in Computer Science or equivalent

Preferred Qualifications

• 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