QA Engineer (AI-Driven Testing & Automation) - Fully Remote Opportunity

Remote
Full Time
Experienced
We are looking for a QA Engineer with 5 to 8 years of experience, who brings strong expertise in both manual and automated testing, with the ability to leverage AI-powered testing tools and methodologies to enhance quality, efficiency, and coverage. The ideal candidate is proactive, detail-oriented, and passionate about continuous learning and improvement in the QA discipline.
You will play a key role in ensuring software reliability across functional, regression, and performance dimensions, while adopting modern AI-based testing practices to accelerate our release cycles.
Key Responsibilities
  • Design, develop, and maintain AI-augmented test automation frameworks using the latest tools and techniques.
  • Conduct manual functional testing for new features, enhancements, and bug fixes to ensure end-to-end system validation.
  • Utilize AI-driven testing platforms for test generation, defect prediction, and intelligent regression analysis.
  • Create, execute, and maintain automated test scripts for web, API, and backend services.
  • Define, plan, and execute various QA cycles such as smoke testing, regression testing, integration testing, and UAT.
  • Collaborate closely with development and DevOps teams to integrate QA automation within CI/CD pipelines.
  • Continuously improve test coverage, test efficiency, and reporting accuracy.
  • Document test cases, track defects, and ensure timely resolution through effective communication with cross-functional teams.
  • Stay updated with emerging AI and automation technologies to continuously evolve QA strategy and toolsets.
Required Skills & Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 5-8 years of professional experience in QA and test automation.
  • Proficiency in manual testing methodologies and QA lifecycle management.
  • Hands-on experience with automation frameworks (Selenium, Playwright, Cypress, or similar).
  • Familiarity with AI-based testing tools (e.g., Testim, Mabl, Functionize, Browser-Use or LLM-based test generation tools like ChatGPT/OpenAI).
  • Strong understanding of smoke, regression, sanity, performance, and UAT best practices.
  • Experience with API testing tools (Postman, Newman) and CI/CD integration (Jenkins, GitHub Actions, Azure DevOps).
  • Good understanding of test design techniques and defect management systems (JIRA, TestRail, Azure DevOps).
  • Excellent communication and collaboration skills.
  • Self-motivated, quick learner, and adaptable to changing priorities or environments.
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