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QA Engineer with 9+ years in Software testing & AWS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Quality Assurance Engineer with 7 years 11 months of experience in Software testing across domains including E-commerce, Healthcare, HRMS, QMS, Chat Applications, SAP, and IoT systems. Strong expertise in test planning, execution, defect management, and cross- platform testing (Web, Android, IOS). Skilled in working with AWS environments, firmware testing, GPS tracking systems, and SAP Business One. Available for immediate joining.
Swami Vivekanand College of Engineering, Indore
B.E. · Electronics & Communication Engineering
August 1, 2009 – Present
M.P. Board
12th
June 1, 2004 – Present
M.P. Board
10th
June 1, 2002 – Present
Einfochips
Senior QA Engineer
August 1, 2022 – July 1, 2025
India
BatchMaster Software & Basecamp Startups
QA Engineer
May 1, 2018 – July 1, 2022
Indore, Madhya Pradesh, India
Trainee Software Testing Engineer
Trainee Software Testing Engineer
March 1, 2017 – April 1, 2018
Indore, Madhya Pradesh, India
Diploma in Software Testing (Manual & Automation)
Seeds InfoTech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked across multiple companies and diverse project domains (E-commerce, Healthcare, HRMS, QMS, Chat Applications, SAP, IoT). This breadth of experience suggests adaptability and an ability to integrate into various team and project cultures. The roles held, from Trainee to Senior QA Engineer, indicate a career progression and commitment to the QA field. The mention of working in Agile environments further supports cultural fit for modern development teams.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to testing, including test case creation, execution, defect verification, and documentation (RTM, Test Plans, Release Notes, Test Reports). Experience in resolving customer-reported issues suggests problem-solving and client-facing skills. The diverse project experience implies adaptability and the ability to work across different operational contexts. The mention of using AI for testing suggests a proactive attitude towards adopting new technologies.