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QA Automation Engineer with 4+ years in Selenium, Java & BDD
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Results-driven QA Automation Engineer with 4 years of experience in manual and automation testing of enterprise web applications across Capital Markets and Logistics domains. Skilled in building scalable automation solutions using Selenium WebDriver 4.x (Java 11/17), TestNG 7.x, and Cucumber BDD. Proficient in API automation with Postman, SQL data validation, and CI/CD integration using Jenkins and Azure DevOps. Experienced with Allure Reports, Log4j, Extent Reports, and AI-assisted test generation. Adapt at working in Agile Scrum environments, collaborating with cross-functional teams to deliver high-quality releases with improved automation coverage and reduced defect leakage.
Unknown
Bachelor of Science (B.Sc.) · Statistics
August 1, 2016 – June 30, 2019
Unknown
Intermediate (MPC) · Math, Physics, Chemistry
June 1, 2014 – May 31, 2016
Publicis Sapient
QA Automation Engineer
March 1, 2022 – Present
Hyderābād, Telangana, India
Selenium WebDriver with Java
Udemy
June 1, 2026 – Present
API Testing (Postman)
Udemy
June 1, 2026 – Present
SQL for Testers
Udemy
June 1, 2026 – Present
TestNG
Udemy
June 1, 2026 – Present
Cucumber BDD
Udemy
June 1, 2026 – Present
CI/CD with Jenkins
Udemy
June 1, 2026 – Present
Git & GitHub
Udemy
June 1, 2026 – Present
Prompt Engineering 101
Udemy
August 1, 2025 – Present
Prompt Engineering 102: Craft Specific Programs for Java
Udemy
August 1, 2025 – Present
Learn Generative AI & AI Agents for Software Testing
Udemy
May 1, 2025 – Present
Slingshot AI Coding Assistant
VS Code Application
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience across Capital Markets and Logistics domains shows adaptability. Their active participation in Agile Scrum ceremonies and collaboration with cross-functional teams indicates a team-oriented mindset. The pursuit of certifications in emerging AI tools for testing suggests a growth mindset and willingness to embrace new technologies, which aligns well with innovative company cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and debugging skills, effective cross-team collaboration in Agile environments, and a proactive approach to learning new technologies, particularly in AI for testing. These traits suggest a good operational fit for dynamic and technically evolving QA teams.