Lead QA Engineer - AI-Driven Playwright Testing

Royal caribbean international; Pasay; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

Royal Caribbean International is seeking a dynamic Quality Engineering Lead to drive testing strategies using Playwright and AI-enhanced tools. You will lead hands-on test automation efforts and mentor cross-functional teams to deliver high-quality software across the product portfolio.

The role emphasizes scalability, security, and performance of testing frameworks, with collaboration across engineering, product, and data science teams to embed AI-driven testing into CI/CD pipelines.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• 5+ years in software quality engineering with hands-on experience in test automation, especially with Playwright and AI-powered tools.
• Proven leadership and collaboration across cross-functional teams in fast-paced environments.

Responsibilities

• Define and drive testing standards using Playwright and AI-enhanced tools for consistent quality.
• Lead test automation initiatives designing scalable solutions for web applications.
• Mentor QA and engineering teams in test automation and AI tool integration.
• Collaborate with developers, product managers, and data scientists to integrate AI-driven testing into CI/CD.
• Identify opportunities to leverage AI for test case generation, defect prediction, and intelligent test execution.

Skills

Playwright

AI tool integration

JavaScript/TypeScript

Python

CI/CD

Leadership & communication

Education

Bachelor’s or Master’s degree in CS/Software Engineering

Tools

Playwright

AI-powered testing tools

Job description

Royal Caribbean International is seeking a dynamic Quality Engineering Lead to drive testing strategies using Playwright and AI-enhanced tools. You will lead hands-on test automation efforts and mentor cross-functional teams to deliver high-quality software across the product portfolio.

The role emphasizes scalability, security, and performance of testing frameworks, with collaboration across engineering, product, and data science teams to embed AI-driven testing into CI/CD pipelines.