AI-Powered QA Automation Engineer

Moody's Corporation

Charlotte (NC)

On-site

USD 78,000 - 114,000

Full time

2 days ago
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Job summary

Moody's Corporation in the United States seeks a Quality Engineering automation specialist to design, build, and maintain automated tests using TypeScript and Playwright across UI, API, integration, and regression testing within an Agile team.

This role emphasizes AI-assisted tooling, GitHub Actions-based CI/CD, and collaboration with developers, QA, and product owners to raise automation standards and product quality.

Qualifications

  • Experience with TypeScript and Playwright for UI/API/integration/regression testing.
  • Familiar with GitHub Actions and version control in CI/CD workflows.
  • Ability to design reusable automation frameworks and manage test data/assets.
  • Interest in AI-assisted tooling to enhance automation productivity.

Responsibilities

  • Design, build, and maintain automated tests using TypeScript and Playwright across UI, API, integration, and regression testing.
  • Develop reusable automation frameworks and manage test data and assets.
  • Use AI-assisted tools (Codex/Claude Code) to improve automation productivity.
  • Apply prompt engineering and context engineering when working with AI tools.
  • Review/validate AI-generated code, tests, and documentation to ensure quality.
  • Collaborate with developers, QA engineers, and product owners to define test requirements and acceptance criteria.

Skills

TypeScript & Playwright
CI/CD with GitHub Actions
Automation frameworks
AI Tools (Codex/Claude Code)
Prompt & context engineering
Agile teamwork
Analytical communication

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Actions
AI Toolchain

Job description

Moody's Corporation in the United States seeks a Quality Engineering automation specialist to design, build, and maintain automated tests using TypeScript and Playwright across UI, API, integration, and regression testing within an Agile team.

This role emphasizes AI-assisted tooling, GitHub Actions-based CI/CD, and collaboration with developers, QA, and product owners to raise automation standards and product quality.

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