QA Automation Engineer; Media Content

Purple Drive

QA Automation Engineer (Media Content)

Share Culver City, CA PDT - 11489 5-10

Overview:

Job Title:

Content Tools QA Team

Important:

• Willing to work in Culver City, CA
• Need prior experience in Media Content Functional and Automation testing.

Role Description s:

We are seeking an enthusiastic and collaborative QA Engineer who has the curiosity to break things to join our Digital Supply Chain Engineering team within ASE. In this role, you'll be working with the ASE Content Tools team to create new services and tools for managing and distributing Apple's vast media content. You will be responsible for testing tools, software and services to ensure seamless integration for our products in order to deliver the highest quality customer experience.

As a member of the Quality Team, you will play a key part in defining test strategies, writing automation scripts and communicating quality status.

Key Responsibilities:

• Design, execute, and maintain manual and automated test cases for web applications.
• Build and extend automated UI test suites using Playwright and/or Selenium.
• Perform API testing (REST/JSON) using tools such as Postman, REST Assured, or equivalent libraries.
• Investigate, reproduce, and clearly document defects with steps, expected vs. actual behavior, logs, and screenshots.
• Collaborate with developers and product on requirements review, test planning, and release readiness.
• Participate in regression, smoke, and exploratory testing cycles.
• Contribute to continuous improvement of test strategy, tooling, and CI integration.

Required Experience:

Bachelor's degree in computer science, Engineering, Information Systems, or a related field. 1–3 years of professional QA experience testing web applications. Hands-on experience writing automation scripts (Selenium/Playwright/Python/Java). Working knowledge of API testing concepts (HTTP methods, status codes, request/response validation, authentication). Familiarity with version control (Git) and defect tracking tools (Jira or similar). Strong written and verbal communication; clear, reproducible bug reports.

Nice-to-Haves:

Familiarity or experimentation with AI tooling in QA workflows. Experience working within Digital Supply Chain or Content Management systems. Master's degree in computer science or related field. Bachelor's degree in related field with demonstrated experience in Quality Engineering