QA Engineer with 4+ years in Automation Testing
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Assessing your cultural and operational fit
Software Development Engineer in Test with 4+ years of experience designing, coding, and executing scalable automation solutions for Web, Mobile, and API-driven enterprise applications. Strong expertise in Java, object-oriented programming, Selenium, Appium, TestNG, REST-based API testing, and CI/CD pipelines. Experienced in multi-layer application testing across UI, API, and database layers, ensuring high-performance, scalable systems serving large user bases. Proven ability to debug complex production issues, validate backend integrations, and improve regression reliability to support continuous delivery in Agile environments.
RGUKT IIIT RK VALLEY
Bachelor of Technology · Civil Engineering
January 1, 2017 – January 1, 2021
RGUKT IIIT RK VALLEY
Pre-university course
January 1, 2016 – January 1, 2017
ZPH SCHOOL, KADAPA
S.S.C · State syllabus
January 1, 2014 – January 1, 2015
Genpact
Client – Morgan Stanley
March 1, 2025 – Present
India
Capgemini
Project – Inspire Brands (BWW, Arby's, Dunkin')
July 1, 2021 – February 28, 2025
India
Certified as QA Automation Engineer - level 1 and level 2
Unknown
June 1, 2026 – Present
Agile Software Development
Coursera
June 1, 2026 – Present
TOSCA certifications - AS1, AS2, TDS1, TDS2
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked with prominent clients/projects (Morgan Stanley, Inspire Brands) and demonstrated adaptability across different enterprise environments. The breadth of skills (Java, Selenium, Appium, SQL, CI/CD, Agile) and certifications (QA Automation, Agile, TOSCA) suggest a commitment to continuous learning and professional development, which aligns with a strong cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration in Agile sprints, root cause analysis, and contributing to scalable test architecture design, indicating a good operational fit for a senior QA role. The ability to improve regression stability and optimize synchronization strategies suggests a proactive and problem-solving mindset.