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QA Automation Engineer with 7+ years in Selenium, Playwright, and AI-driven testing.
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Quality Assurance Automation Engineer with 4.4 years of experience seeking to leverage expertise in Selenium WebDriver, Java, Playwright with TypeScript, API Testing (Postman, Rest Assured), BDD Cucumber, SQL, Jenkins CI/CD, and AI-driven testing to deliver robust, scalable software solutions in a growth-oriented environment.
Jawaharlal Nehru Technological University, Kakinada
Bachelor of Technology · Chemical Engineering
January 1, 2014 – January 1, 2018
NstarX
QA Automation Engineer
June 1, 2022 – Present
India
CPC Technologies
QA Automation Intern (Unpaid)
November 1, 2021 – May 31, 2022
India
Divis Laboratories Ltd.
Executive - Technical Department
June 1, 2019 – July 31, 2021
India
VPCL (Visakha Petroleum Corporation Ltd.)
Executive - Technical Department
October 1, 2018 – June 30, 2019
India
Verity HealthStream
June 1, 2022 – Present
Verity HealthStream is a health care compliance and learning management platform with multiple environments. Each environment consists of two URLs - CS (Content Studio / Admin portal) and Hub (Provider-facing portal). CS is used by administrators for configuration, scheduling, and reporting, while Hub is used by healthcare providers and staff. The BOLT module within CS is used for advanced filtering and automated scheduling/distribution of compliance emails to providers. Automated end-to-end UI test scripts for both CS (Admin) and Hub (Provider) portals of Verity HealthStream across multiple test environments using Selenium WebDriver with Java and Playwright with TypeScript. Validated BOLT module functionality in the CS portal — automated test scenarios for provider filtering logic and compliance email scheduling workflows. Developed and executed comprehensive API test cases using Postman and Rest Assured to validate backend services and RESTful endpoints. Designed and maintained BDD Cucumber feature files with Gherkin syntax for behavior-driven test coverage of CS and Hub workflows. Built and maintained a hybrid automation framework using Page Object Model (POM), TestNG, and Maven. Automated 200+ test cases covering functional, regression, and smoke testing across environments. Designed reusable utility functions and implemented data-driven testing using Apache POI. Utilized dynamic XPath selectors and CSS selectors for stable, maintainable test scripts. Configured and maintained Jenkins CI/CD pipelines for scheduled and trigger-based automated test execution. Managed code using Git and GitHub — branching, merging, and code review via pull requests. Wrote SQL queries for backend data validation and database testing. Participated in Agile ceremonies — sprint planning, daily standups, and retrospectives. Logged, tracked, and reported defects in Azure DevOps; collaborated with dev teams for resolution. Contributed to manual testing including smoke, regression, and User Acceptance Testing (UAT). Applied AI-driven testing techniques — intelligent test case prioritization and predictive defect analysis to optimize coverage and efficiency.
Cultural Fit Analysis
The candidate's experience in a healthcare domain project (Verity HealthStream) shows adaptability to regulated environments. Their transition from a Chemical Engineering background to QA automation demonstrates a proactive learning attitude and ability to pivot careers, which can be a positive indicator for cultural fit in dynamic environments. The breadth of tools and technologies used (Selenium, Playwright, Java, TypeScript, Rest Assured, Jenkins, Git, Azure DevOps) suggests a willingness to learn and apply diverse solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a QA Automation Engineer role, evidenced by their detailed project descriptions covering the full automation lifecycle, from framework design to CI/CD integration and defect management. Their participation in Agile ceremonies indicates good team collaboration potential. The resume's clarity suggests effective communication skills in a professional context.