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QA Automation Engineer with 4+ years in Banking & Real-Time Payments
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer with 3+ years of experience in Manual and Automation Testing within Banking and Real-Time Payments domains. Strong expertise in Selenium, Robot Framework, Python, SQL, and API testing with hands-on experience in ISO 20022 and SWIFT payment systems. Skilled in SDLC, STLC, Agile methodology, database validation, and CI/CD integration using Jenkins. Proven track record of reducing manual regression effort by 75% through automation framework optimization and delivering high-quality, compliant enterprise applications.
BPUT, Odisha
B.Tech · Electronics and Telecommunication Engineering
August 1, 2017 – June 30, 2021
CHSE, Odisha
Intermediate
June 1, 2015 – May 31, 2017
HSE Board, Odisha
10th
N/A – May 31, 2015
Tata Consultancy Services
QA Engineer (QAE)
November 1, 2021 – Present
Bengaluru, Karnataka, India
Manual and Selenium WebDriver using Python
Unknown
June 1, 2026 – Present
Knowledge in Generative AI
GitHub Copilot
June 1, 2026 – Present
Learn Playwright using Javascript
Unknown
June 1, 2026 – Present
Learning SWIFT Payment System
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's single, continuous role at Tata Consultancy Services, a large service-based organization, suggests adaptability to structured environments. The focus on payment modernization projects indicates a comfort with complex, regulated domains. The breadth of tools and methodologies used (Agile, various testing types, multiple databases) points to a versatile individual. However, without more diverse project experience or explicit statements on collaboration styles, a deeper cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's experience in Agile methodologies, participation in sprint ceremonies, and use of tools like Jira indicate good operational fit for collaborative, fast-paced development environments. The mention of GitHub Copilot suggests an openness to adopting new technologies and improving efficiency.