Quality Assurance Engineer
4 weeks ago
Company Name: TerraFinn Technologies
Website: www.terrafinn.com
Client: Fitch Ratings
Website: https://www.fitchratings.com/
Salary: 25+ lacs
Mode: Full-time, remote
Experience: 6+ Years
Joining: Immediate
Lead/Senior Quality Assurance
About the Role
We are seeking a highly skilled Automation QA Engineer with expertise in AI-driven testing to join our quality engineering team. The ideal candidate will have strong experience in building automated test frameworks, integrating AI/ML tools to optimize testing workflows, and ensuring the reliability, scalability, and performance of complex applications.
Key Responsibilities
- Design, develop, and maintain robust test automation frameworks for web, mobile, API, and enterprise applications.
- Leverage AI/ML-powered tools (e.g., Testim, Mabl, Applitools, Functionize, or custom AI solutions) 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.
- Mentor junior QA engineers on test automation best practices and AI-driven testing methodologies.
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).
- Knowledge of AI concepts such as NLP, anomaly detection, predictive analytics, and generative AI for QA is a plus.
Preferred Skills
- Experience with self-healing test automation frameworks.
- Exposure to GenAI (LLMs) for test case generation and automation.
- Knowledge of microservices testing and containerized environments (Docker, Kubernetes).
- Experience in shift-left testing and TestOps practices.
Soft Skills
- Strong problem-solving and analytical abilities.
- Excellent communication and collaboration skills.
- Ability to adapt to rapidly changing technologies and environments.
What We Offer
- Opportunity to work with cutting-edge AI-driven QA technologies.
- Collaborative, innovative, and inclusive work culture.
- Competitive salary and benefits package.
- Career growth with exposure to AI and next-gen automation practices.
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