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QA Automation Engineer with 4+ years in Selenium, Java, and API Testing
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Assessing your cultural and operational fit
QA Automation Engineer with 3 years 8 months of experience testing telecom and enterprise web/mobile applications at Verizon Communications (via Sutherland Global Services). Proficient in Selenium WebDriver with Java, TestNG, Page Object Model, and Hybrid Frameworks, with hands-on delivery across DEV, SIT, Stage and Production environments. Reduced manual regression effort by 40% through end-to-end automation. Strong foundation in Functional, Regression, Smoke, API, and Mobile Testing (Appium). MBA in Business Intelligence & Al bringing analytical thinking to quality engineering. Currently expanding skills in CI/CD integration and advanced automation patterns.
Jain University
MBA · Business Intelligence & Artificial Intelligence
August 1, 2022 – June 30, 2024
Ramakrishna Mission Vivekananda College
Bachelor of Commerce (B.Com) · Accounting & Finance
August 1, 2018 – June 30, 2021
Sutherland Global Services
QA Automation Engineer
June 1, 2023 – Present
Hyderābād, Telangana, India
Sunera Technologies
QA Engineer – Cloud Testing
December 1, 2021 – May 1, 2023
Hyderābād, Telangana, India
eSIM Product Development Group - Verizon
June 14, 2026 – Present
Led QA for eSIM (Embedded SIM) functionality covering activation, download, deactivation, and multi-profile switching across smartphones, tablets and IoT devices on multiple carriers. Developed Appium automation scripts for mobile regression and Selenium scripts for web-based eSIM management portal; validated 15+ device/carrier combinations per release cycle. Automation coverage reduced mobile regression cycle time by approximately 35%; performance testing confirmed stable network connection during and after all eSIM profile change scenarios.
Universal Tax Engine (UTE) — Verizon
June 14, 2026 – Present
Ensured accurate and compliant tax calculations for the Universal Tax Engine across 50 U.S. state and local jurisdictions, covering multiple billing systems and edge-case tax scenarios. Designed detailed test plans for jurisdiction-specific tax rate validation; developed and maintained an automated regression suite of 200+ test cases using Selenium + Java to validate calculations after every tax rule update. Achieved 100% test coverage of all UTE user stories with zero critical tax calculation defects escaping to production post-automation implementation.
Cultural Fit Analysis
The candidate's experience across two companies, particularly with a major client like Verizon, shows adaptability and exposure to different project environments. Their involvement in end-to-end STLC and SDLC, coupled with collaboration in Agile ceremonies, indicates a team-oriented approach. The pursuit of an MBA in Business Intelligence & AI while working suggests a proactive and growth-oriented mindset, which generally contributes positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum environments, leading UAT, and collaborating with cross-functional teams. Their ability to manage defect backlogs and coordinate triage indicates good organizational and communication skills within a project lifecycle. The MBA in Business Intelligence & AI suggests an analytical mindset and a desire for continuous learning, which aligns well with problem-solving in QA.