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QA Automation Engineer with 3+ years in Manual, Mobile Automation, API, and Performance Testing.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and results-driven QA Engineer with strong experience in Manual Testing, Mobile Automation Testing (Android), API Automation, Performance Testing, and Database Validation. Hands-on expertise in Appium with Java, Selenium WebDriver, TestNG, Postman Automation with Newman, and JMeter. Experienced in testing IoT-based systems and Linux-based applications, building Hybrid Automation Frameworks, executing automated test suites, and delivering high-quality releases in Agile environments across E-commerce, Mobile Apps, and Warehouse & Inventory Management (WMS) domains.
Sri Venkateshwara University
MBA
N/A – Present
Daalchini Technologies Pvt. Ltd
QA Engineer
September 1, 2022 – February 1, 2026
India
Vending Machine
September 1, 2022 – February 1, 2026
DAALCHINI Vending Machine is a smart food vending ecosystem consisting of Android, iOS, and PWA platforms, allowing users to order food, electronic devices, daily necessities and stationery items. The system includes Inventory Management, Payment Gateway Integration, and Analytics tracking. Reviewed PRD, Functional and Business Requirement documents to clearly understand end-to-end application workflows and business scenarios. Designed, documented, and executed Manual and Automated Test Cases ensuring maximum test coverage across multiple modules. Performed Mobile UI Automation Testing for Android applications using Appium with Java and TestNG following Page Object Model (POM) design pattern. Developed and executed API Testing and Automation using Postman with Newman as collection runner and executing collections using Newman. Performed Backend Database Validation using MySQL Workbench to verify data consistency between UI, APIs, and database layers. Tested Payment Gateway integrations including Razor Pay, Paytm, Corporate Wallet, Company Wallet, and PLUXEE (Sodexo) by validating transaction flows, callbacks, and failure scenarios. Conducted various testing types such as Smoke, Sanity, Regression, System, Integration, and Compatibility Testing across different environments and devices. Validated Mixpanel analytics integration to ensure accurate tracking of user interactions and event data within the mobile application. Logged, tracked, and managed defects using defect tracking tools, performed Re-Testing and Regression Verification after fixes. Collaborated closely with developers, product owners, and clients during Daily Scrum, Sprint Planning, Review, and Retrospective meetings to ensure timely delivery and quality outcomes. Ensured comprehensive test coverage across Frontend, Backend, API, and Database layers, improving overall application stability and reliability. Executed performance testing for IoT (Internet of Things) based systems using JMeter to validate system scalability and reliability. Performed performance testing for Linux-based applications, analyzing response times, throughput, and system resource utilization.
Cultural Fit Analysis
The candidate's experience is primarily within a single company, Daalchini Technologies, focusing on a vending machine ecosystem. While this shows depth in a specific domain, it limits the diversity of project exposure. The role aligns well with a QA Automation Engineer position, demonstrating a breadth of relevant technical skills. The MBA education, while not directly technical, could indicate a broader business understanding, which can be beneficial in a product-focused QA role.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through participation in Agile ceremonies (Daily Scrum, Sprint Planning, Review, Retrospective). The detailed project descriptions indicate a methodical approach to testing, including requirement analysis, test case design, defect tracking, and re-testing. The candidate's experience in diverse testing environments (QA, Staging, Production) suggests adaptability and operational readiness.