Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Automation Engineer with 4+ years in UI, API, and Database Testing
QA Automation Engineer with 4.1 years of experience in UI and API Testing, ensuring data accuracy and system efficiency. Expertise in Selenium for frontend automation, significantly improving UI test coverage. Proficient in Postman and Rest-Assured for API testing, ensuring seamless service integrations. Strong experience in database testing using MySQL to validate backend data in pipelines. Hands-on experience with CI/CD pipelines using Jenkins optimizing automated test execution in Agile environment. Designed, developed, and maintained UI Automation frameworks using Selenium WebDriver, enabling reliable cross-browser testing. Executed functional, regression, and integration testing of REST and SOAP APIs using Postman, ensuring secure and accurate workflows. Collaborated closely with developers, automation engineers, and QA leads to align testing scope and streamline QA processes. Optimized automated test execution by integrating frameworks with CI/CD pipelines using Jenkins, GitHub improving release efficiency and stability. Developed and executed comprehensive Test plans for Web Application and perform software Testing's like Functional, Smoke & Regression-Testing Develop and execute Test cases, Test plans and Test Scripts based on Project requirements Leveraged Generative AI and NLP-based automation to convert business requirements into test cases, reducing manual test design effort by 40%. Conducted database testing using MySQL, including data validation, transformations, duplicate detection, null checks, and source-to-target reconciliation. Actively contributed in Agile/Scrum environments, participating in requirement analysis, sprint planning, daily stand-ups, and defect triage. Recognized for preparing detailed quality reports (daily, weekly, and impact analysis) for senior management, supporting data-driven decision-making.
Manipal Institute of Technology
B Tech · Information Technology
N/A – June 30, 2022
Genpact
QA Automation Engineer
April 1, 2022 – Present
Mumbai, Maharashtra, India
Travel Cove
June 17, 2026 – Present
A tour management application for users to register, search for tours, and view related information. Tour details are managed dynamically via an admin panel. Search functionality is location-based and package-based. The application includes modules like Destination, Packages, Weekend Plans, Places to enjoy, and Recommended Tours.
Apka Interior
June 17, 2026 – Present
An e-commerce based application allowing customers to purchase interior products like Furniture, Decor Wallpaper, modular kitchens, and complete interior packages. Users can place orders by providing personal address and payment details, manage features (update shipping/billing address, payment mode, cancel, request refund/replacements) via the portal. The platform ensures seamless end-to-end experience by integrating order management and customer self-service capabilities.
Cultural Fit Analysis
The candidate's experience across two professional projects (e-commerce and tour management) showcases diversity in application domains. Their involvement in Agile/Scrum environments, collaboration with developers, and focus on data-driven decision-making through quality reports align well with modern, collaborative engineering cultures. The breadth of skills listed, from various testing tools to programming languages and AI/advanced testing concepts, indicates a proactive learning attitude and adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a QA Automation Engineer role, evidenced by their experience in understanding functional requirements, reviewing test cases, defect management with Jira, and generating quality reports. Their active participation in Agile/Scrum ceremonies indicates good team collaboration and adaptability to iterative development cycles. The use of Generative AI for test case design suggests an innovative and efficient approach to QA.