QA Engineer with 3+ years in Manual, Automation & API Testing.
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Software QA Engineer with 2.3 years of combined professional and internship experience in Manual Testing, Automation Testing, and API Testing. Experienced in SDLC, STLC, test case design, defect tracking, and Agile/Scrum methodologies. Proficient in Selenium WebDriver with Java, TestNG, and Postman for automation and API testing. I am skilled in identifying defects, improving test coverage, and ensuring high-quality product releases.
V. O. Chidambaram College
Bachelor of Science · Zoology
August 1, 2017 – June 30, 2020
Amazon
Software Test Engineer
February 1, 2024 – Present
Chennai, Tamil Nadu, India
QSpiders Training Institute
QA Internship & Certification
June 1, 2023 – January 31, 2024
Chennai, Tamil Nadu, India
AWS WorkDocs – Enterprise Content Collaboration Platform
February 1, 2024 – June 30, 2026
Performed functional, regression, and accessibility testing for file management, document sharing, and collaboration features. Validated complex file operations including upload, download, versioning, sharing permissions, and real-time collaboration workflows. Tested mobile applications on Android and iOS platforms ensuring feature parity and optimal user experience.
AWS WorkMail – Cloud-Based Email and Calendar Service
February 1, 2024 – June 30, 2026
Tested comprehensive email workflows including compose, send, receive, search, and folder management operations. Validated user management features, calendar synchronization, and meeting scheduling functionality. Executed cross-platform testing across web and mobile applications to ensure consistent user experience.
Accessibility Testing – Wickr Enterprise Communication Platform
February 1, 2024 – June 30, 2026
Executed comprehensive accessibility validation using NVDA and Voiceover screen readers to ensure WCAG 2.1 AA compliance. Tested keyboard navigation, focus management, and alternative text for images to support users with visual impairments.
AWS Supply Chain Management
February 1, 2024 – June 30, 2026
Performed functional and regression testing on supply chain modules like demand planning, inventory tracking, and order management. Verified role-based access control (RBAC) for different user roles (supplier, planner, admin).
Test Automation Framework Development
February 1, 2024 – June 30, 2026
Developed and maintained Selenium WebDriver automation scripts using Java, implementing Page Object Model design pattern for maintainability. Built Hybrid Framework combining data-driven and keyword-driven approaches for flexible and reusable test automation.
AI-Assisted Bug Reporting Template
February 1, 2024 – June 30, 2026
Designed and implemented AI-powered bug creation template to generate clear, structured, and reproducible defect reports. Automated generation of key fields including summary, steps to reproduce, expected vs actual results, severity classification, and environmental details. Improved defect reporting consistency across team members and reduced average bug creation time by 50%. Enhanced communication between QA and development teams, resulting in faster bug resolution and fewer clarification requests.
AI-Powered Onboarding Assistant
February 1, 2024 – June 30, 2026
Contributed to development of AI-powered chatbot designed to support new team members with project-specific questions. Enabled new joiners to quickly clarify workflows, tools, testing processes, and team conventions through conversational interface. Reduced onboarding time and dependency on senior team members for routine questions and documentation access.
Cultural Fit Analysis
The candidate's experience at Amazon, a large tech company, suggests an ability to thrive in fast-paced, high-demand environments. Their involvement in AI-powered initiatives and continuous improvement efforts indicates a proactive and growth-oriented mindset. The diversity of projects (enterprise collaboration, supply chain, communication platforms) and exposure to various testing types (web, mobile, accessibility, API) demonstrate adaptability and a broad skill set, which are positive indicators for cultural fit within a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through active participation in Agile/Scrum ceremonies, collaboration with cross-functional teams, and data-driven quality decisions. Their ability to optimize test case efficiency and manage large volumes of regression tests indicates strong organizational and execution skills. The AI-powered initiatives suggest a proactive and innovative mindset, which is valuable for process improvement.