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QA Engineer with 2+ years in Manual and Automation Testing, skilled in API Testing and Agile methodo
QA Engineer with 2+ years of hands-on experience in Manual and Automation Testing across Web and Mobile applications. Strong expertise in Functional Testing, Regression Testing, Integration Testing, System Testing, Smoke Testing, Sanity Testing, and UAT Support. Proficient in building and maintaining Automation Frameworks using Selenium WebDriver (Java), Playwright with hands-on experience in API Testing using Postman and REST API validation. Skilled in writing SQL queries for database/backend validation, and experienced in Cross-Browser Testing and Mobile Testing (Android & iOS). Well-versed in Agile/Scrum methodology, SDLC, STLC, Test Case Design, Test Planning, Defect Life Cycle, and Bug Tracking tools like JIRA. Strong ability to collaborate with cross-functional teams to deliver high-quality products within deadlines. Hands-on experience leveraging AI tools like ChatGPT and GitHub Copilot to enhance test documentation, optimize automation scripts, and improve overall testing efficiency.
Shree Ramchadra College Of Engineering
B.E · Computer Engineering
N/A – June 30, 2026
JDIT business solutions Pvt Ltd.
TEST ENGINEER
March 1, 2024 – Present
India
Cultural Fit Analysis
The candidate's experience in diverse projects within the financial sector (DerivaClear, TradeFX) indicates adaptability to different client environments and complex business domains. The breadth of skills listed (manual, automation, API, mobile, database, performance, accessibility, cross-browser testing) suggests a versatile individual. The proactive use of AI tools for efficiency aligns with a culture of innovation and continuous improvement. The role alignment with a QA Engineer position is excellent, given the direct experience and stated expertise.
Soft Skills & Operational Fit
The candidate demonstrates a strong ability to collaborate with cross-functional teams and deliver high-quality products within deadlines, as stated in the summary. The detailed project descriptions indicate a structured approach to testing, including test plan preparation, scenario/test case design, execution, and defect tracking. The use of AI tools suggests an openness to adopting new technologies for efficiency.