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QA Automation Engineer with 5+ years in banking and insurance domains.
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Assessing your cultural and operational fit
QA Automation Engineer with 4 years 10 months of experience in banking and insurance domains, specializing in end-to-end testing, system integration, and data validation across complex applications. Experienced in working across multiple automation stacks including Selenium with Java and Playwright with Python. Skilled in validating UI, API, and data flows across upstream and downstream systems. Proven ability to improve test efficiency, ensure high-quality releases, and contribute effectively in Agile environments.
Andhra University
Bachelor of Technology · Computer Science and Engineering
January 1, 2015 – January 1, 2019
PNC Bank
QA Automation Engineer
February 1, 2023 – Present
India
MetLife Insurance
Test Data Management
May 1, 2021 – January 1, 2023
India
Playwright Automation with Python – Udemy
Udemy
June 1, 2026 – Present
Azure Fundamentals (AZ-900)
Unknown
June 1, 2026 – Present
Certified SAFe 5 Practitioner
Unknown
June 1, 2026 – Present
Full Stack Tester
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across banking and insurance domains, coupled with diverse technical skills (Java, Python, Selenium, Playwright, SQL, CI/CD tools), indicates adaptability and a broad understanding of different industry requirements. Their certifications in Playwright, Azure, and SAFe practitioner suggest a proactive approach to learning and alignment with modern development practices, which is a good cultural fit for dynamic and evolving tech environments. The role as QA Automation Engineer aligns well with the target role, showing a clear career path.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with developers, product stakeholders, business analysts, and architects. Their experience in Agile environments and proactive management of test data dependencies indicates good operational fit and ability to work within structured development processes. The focus on improving efficiency and ensuring data integrity suggests a detail-oriented and quality-driven approach.