Help & Supportcareers@gravityer.com
QA Engineer with 6+ years in Software Testing & Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To contribute as a committed QA Engineer in a growth-oriented organization, leveraging my expertise in testing and continuous learning to deliver high-quality software solutions. QA Engineer with 6.5 years of experience in software testing and quality assurance, including 5+ years in manual testing and 1 year of automation exposure. Strong expertise in Functional Testing (Regression, Sanity, Smoke, Integration) and Non-functional Testing (Performance, Usability, Security). Experienced in Agile/Scrum methodologies with active participation in sprint ceremonies, requirement analysis, and end-to-end test management.
Unknown
Bachelor of Technology (B.Tech) · Electronics & Communication Engineering (ECE)
N/A – June 30, 2019
ByCero Solutions Private limited
QA Engineer
November 1, 2019 – Present
India
NetScribe Web
March 1, 2021 – June 30, 2026
NetScribe Web application focuses on Law related issues and it is mostly used for criminal cases, judgments, courtrooms and mostly is worked audio conversions into draft.
Capture Pro
February 1, 2020 – March 31, 2021
(Windows Application)
Cultural Fit Analysis
The candidate's experience in Agile environments and collaboration with cross-functional teams suggests a good fit for dynamic, team-oriented cultures. The stated objective to contribute as a committed QA Engineer in a growth-oriented organization aligns with a culture that values continuous learning and improvement. The diversity of projects (web and Windows applications, legal domain) indicates adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through end-to-end test management and defect tracking. Collaboration with cross-functional teams and active participation in Agile ceremonies indicate good teamwork and communication. The focus on continuous learning and leveraging AI-driven productivity tools suggests adaptability and a proactive approach to improving efficiency.