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QA Engineer with 4+ years in Manual & Automation Testing
Highly skilled Manual Test Engineer with over 3.6+ years of experience in IT, specialized in Software Quality Assurance Testing. Proficient in manual testing, bug tracking, and test plan creation, complemented by good knowledge in automation testing using Selenium and Java. Extensive working experience on all phases of SDLC & STLC and operating effectively in methodologies such as Agile and SCRUM. Demonstrated proficiency in conducting various types of testing including Smoke, Functional, Regression, Integration, UI, and System testing. Expertise includes writing, executing, and reviewing test cases, along with sound knowledge of the Defect life cycle and API Testing using Postman. Experienced with JIRA for test management and proficient in SQL commands for database verification. Possesses good knowledge of Core Java, OOPS, WebDriver, XPath, CSS Selector, Page Object Model, Cross browser testing, and Test Execution using Selenium. Adaptable to new technologies, a good team player, and capable of working independently, demonstrating outstanding communication and interpersonal skills.
Bapatla Engineering College
Master's · Analytical Chemistry
N/A – June 30, 2024
Chaitanya Bharathi Degree College
Bachelor's · Computer Science (MCCS)
N/A – June 30, 2024
Endpoint IT Global Pvt Ltd
Manual Test Engineer
February 1, 2025 – Present
India
Audree Info Tech Pvt. Ltd
QA Tester
February 1, 2022 – August 1, 2024
India
Cultural Fit Analysis
The candidate's experience across different domains (clinical trials, warehouse management, user management) and stated ability to adapt to new technologies indicate a willingness to learn and engage with diverse projects, contributing positively to cultural fit. The emphasis on teamwork and communication also aligns with typical collaborative team cultures.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication and interpersonal skills, ability to work independently and as a team player, and adaptability to new technologies. These traits suggest a good operational fit for collaborative QA environments.