Help & Supportcareers@gravityer.com
QA Automation Engineer with 4+ years in Automation & Performance Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Software Test Engineer with over 4+ years of hands-on experience in application and website testing across Healthcare, E-commerce, and Customer Experience Management domains. Proficient in all phases of SDLC, STLC, and the defect lifecycle, with strong expertise in test case design and execution of functional, integration, system, and regression testing and Automation testing. Detail-oriented, self-motivated, and highly organized, with a strong passion for continuous learning and growth in software testing and automation.
MAIIT(KOTA)
BCA · Bachelor Of Technology
August 1, 2018 – June 30, 2018
Holy Mother Sharda Sr Sec School, Kota
HSC
June 1, 2012 – May 31, 2012
Bal Vidyalaya, Kota
SSC
June 1, 2010 – May 31, 2010
upGrad
Quality Engineer I
September 1, 2024 – January 1, 2026
India
Cog culture Pvt. Ltd.
Website Tester
October 1, 2022 – September 1, 2024
India
Targus Technologies Pvt. Ltd.
Software Test Engineer
July 1, 2021 – October 1, 2022
India
Cultural Fit Analysis
The candidate's experience across different domains (Healthcare, E-commerce, Customer Experience Management) and exposure to various testing methodologies (Agile, Waterfall) suggests adaptability. Their stated passion for continuous learning and growth aligns well with a culture of continuous improvement. The breadth of skills and tools used indicates a willingness to learn and apply new technologies, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills, detail-orientation, and a self-motivated approach, as highlighted in the professional preface. Their experience in collaborating with development teams for defect resolution indicates good teamwork and communication. The ability to adapt to both Agile and Waterfall environments suggests flexibility and operational fit for dynamic project settings.