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QA Engineer with 9+ years in Cloud-Based Contact Center Applications & Automation Testing
Experienced Manual and Automation Test Engineer with over 9.3 years of hands-on experience in testing cloud-based contact center applications. Proficient in designing, executing, and documenting test cases to ensure software meets business requirements for functionality and usability. Known for improving team collaboration and consistently delivering high-quality projects within tight deadlines. Strong expertise in both manual and automated testing, with in-depth knowledge of tools like Postman for API testing and Playwright for end-to-end automation. Well-versed in Agile practices, SDLC, and STLC processes, and continuously updated with evolving technologies and industry standards to ensure efficient and effective testing strategies. Additionally leveraged Claude (Anthropic) as an AI-assisted tool to support test planning, documentation, and exploratory testing insights.
NMAM Institute of Technology (NMAMIT)
Master of Computer Applications (MCA)
August 1, 2012 – June 30, 2015
NICE (LiveVox Solutions Pvt. Ltd.)
Senior QA Engineer
October 1, 2015 – January 1, 2025
India
Playwright Advanced Automation Training
Internal Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has extensive experience within a single company (NICE/LiveVox Solutions) across multiple projects within the CCaaS/Telecommunications domain. This indicates loyalty and deep domain expertise. However, the lack of diverse industry experience or projects outside of this specific domain might suggest a narrower exposure to different organizational cultures or technical challenges. The focus on a target role of 'QA Engineer' aligns well with their career trajectory and skill set.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with product owners, developers, and DevOps, participation in defect triage, and sprint reviews, indicating strong teamwork and communication skills essential for an Agile environment. The use of AI tools (Claude) for test planning and documentation suggests an adaptive and efficient approach to problem-solving and a willingness to leverage new technologies.