Help & Supportcareers@gravityer.com
QA Engineer with 10+ years in Software Testing and Agile environments.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and passionate QA Engineer with 3.11 years of experience in Software Testing. Proven ability in requirement analysis, test planning, execution, defect tracking and sprint delivery. Experienced in fast-paced Agile environments with exposure to client communication, team collaboration, and tools like Postman, Jira and GitLab. Open to roles in diverse domains with a strong willingness to grow in API and automation testing.
UniversityCollege ofEngineering, Thodupuzha
B.Tech · Electrical Electronics Engineering
August 1, 2011 – June 30, 2015
Ruby Seven Studios, INC
Quality Assurance Engineer
December 1, 2022 – Present
India
Acelr Tech Labs Pvt Ltd
Quality Analyst
March 1, 2022 – October 1, 2022
India
Kerala State Electricity Board
Operator
February 1, 2016 – March 1, 2022
India
SPECIALISE IN QA MANUAL TESTING WITH LIVE PROJECT +AGILE
Udemy
June 1, 2026 – Present
COURSE ON SOFTWARE TESTINGFUNDAMENTALS
Great Learning
January 1, 2022 – Present
SOFTWARE TESTING BOOTCAMP
Aspire IT Academy
December 1, 2020 – Present
INTERNSHIP COURSE IN SOFTWARE TESTING
Scope India
June 1, 2020 – Present
Cultural Fit Analysis
The candidate has experience in two different QA roles within the tech industry, demonstrating adaptability. Their involvement in diverse projects (studio games, mobile applications) and exposure to various tools (Mantis, Jira, Postman, GitLab) indicates a breadth of skills relevant to a dynamic QA environment. The certifications in software testing further highlight a commitment to continuous learning and professional development, aligning well with a culture of growth.
Soft Skills & Operational Fit
The candidate demonstrates strong communication, team collaboration, and organizational skills, which are crucial for an Agile QA environment. Their experience in root cause analysis and contributing to corrective actions shows a proactive approach to quality. The ability to operate effectively in fast-paced environments and willingness to grow in API and automation testing suggests a good operational fit.