QA Automation Engineer with 7+ years in Manual & Automation Testing across Automotive, Banking, and
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Assessing your cultural and operational fit
Results-driven QA Engineer with 6+ years of experience in Manual and Automation Testing across Automotive, Banking, and Healthcare domains. Proven expertise in Functional, Regression, System, and Exploratory Testing within Agile/Scrum environments. Hands-on experience with API Testing using Postman, defect tracking via JIRA, and database validation using SQL. ISTQB Foundation Level Certified with Tosca Automation training. Adept at collaborating with developers and product teams to deliver high-quality software on schedule.
Government Engineering College, Aurangabad
B.E. · Computer Science & Engineering
August 1, 2016 – June 30, 2019
Government Polytechnic, Aurangabad
Diploma · Computer Engineering
N/A – June 30, 2016
T-Systems India ICT Pvt Ltd
Junior Consultant
August 1, 2022 – Present
India
Wipro Limited
Project Engineer
June 1, 2019 – August 1, 2022
India
ISTQB Foundation Level Certified
ISTQB
June 1, 2026 – Present
Tosca Automation Training
Tricentis
June 1, 2026 – Present
Generative AI for Software Testing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked across multiple domains (Automotive, Banking, Healthcare) and with different project types (Infotainment systems, batch jobs, web applications), indicating adaptability and a broad perspective. Their experience in Agile environments and collaboration with cross-functional teams suggests a good fit for dynamic, team-oriented cultures. The certifications in ISTQB and Generative AI for Software Testing show a commitment to continuous learning and staying current with industry trends.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills, adaptability to new technologies and domains, and effective communication within Agile teams. Their proactive approach to identifying quality gaps aligns well with a preventative quality assurance mindset. Experience in cross-functional collaboration and defect resolution indicates good operational fit.