Nitish Kumar

QA Automation - Software Test Engineer

Talent

NoidaMember since August 7, 2026

Playwright (JavaScript)Page Object Model (POM)Functional TestingMongoDBAzure DevOpsGitAgile ScrumSTLC

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Playwright (JavaScript)Page Object Model (POM)Functional TestingMongoDBAzure DevOps

About

Hands-on QA Automation and Software Test Engineer with over 2 years of experience testing web and mobile applications. Skilled at building stable automation frameworks from scratch using Playwright (JavaScript) in VS Code, as well as handling deep backend API validation using Postman and MongoDB. Experienced across the full STLC, successfully balancing daily manual test design and bug tracking with non-functional testing like API security checks (OWASP ZAP), accessibility audits (WAVE Tool), and load testing (JMeter) within Agile Scrum teams.

Experience

Software Test Engineer - Coforge LTD - Greater Noida

(2024-06)

Project Assignment: Web & Mobile Application Testing (Peabody – UK Housing Domain). Primary long-term project focused on testing User Registration, Multi-Factor Authentication (MFA), and Payment Gateways.

Create and execute end-to-end QA testing strategies to ensure smooth product releases.
Document, log, and track 597 verified software defects inside Azure DevOps, working closely with developers to make sure bugs are fixed and verified.
Actively participate in daily Agile Scrum meetings, sprint planning, and reviews, translating business logic into real test cases.
Wrote modular automated regression scripts using Playwright (JavaScript) in VS Code, applying Page Object Model (POM) design patterns to keep the automation suite stable and easy to maintain.
Found and isolated 200 critical backend defects using Postman to verify JSON response data, payload structures, and server status codes.
Checked and logged 397 UI and cross-browser responsive layout bugs on real mobile devices, utilizing the WAVE Tool to verify digital accessibility compliance.
Ran backend validation inside MongoDB to check that user inputs from the front-end updated database collections and documents without errors.
Used Apache JMeter to run simple load tests to see how the system handles high user traffic, and used OWASP ZAP to run basic security scans for web vulnerabilities.