We are seeking a skilled Quality Assurance Engineer with expertise in AI-driven testing to join our quality engineering team.
Key Responsibilities
- Develop and maintain robust test automation frameworks for web, mobile, API, and enterprise applications.
- Use AI-powered tools to enhance test automation, defect prediction, and intelligent test case generation.
- Implement self-healing test scripts to reduce test maintenance effort.
- Collaborate with development, DevOps, and product teams to ensure continuous testing in CI / CD pipelines.
- Analyze large test execution data sets to identify trends, flakiness, and performance bottlenecks.
- Integrate AI-based test data generation and predictive analytics to optimize coverage.
- Ensure high standards of quality for functional, regression, integration, and performance testing.
Required Skills & Qualifications
Bachelor's / Master's degree in Computer Science, Engineering, or related field.4–8 years of experience in Test Automation and Quality Assurance.Proficiency in automation tools / frameworks : Selenium, Cypress, Playwright, Appium, RestAssured, TestNG / JUnit.Strong programming skills in Python, Java, or JavaScript / TypeScript.Experience with CI / CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).Hands-on knowledge of AI / ML-based test automation tools (Applitools, Testim, Mabl, Functionize, etc.).Familiarity with cloud-based testing platforms (BrowserStack, Sauce Labs).Strong understanding of API testing (Postman, Karate, RestAssured) and performance testing (JMeter, k6, Locust).Preferred Skills
Experience with self-healing test automation frameworks.Exposure to GenAI (LLMs) for test case generation and automation.Soft Skills
Strong problem-solving and analytical abilities.Excellent communication and collaboration skills.Ability to adapt to rapidly changing technologies and environments.