Help & Supportcareers@gravityer.com
QA Engineer with 8+ years in manual, API, and automated testing, leveraging AI tools.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven QA Engineer with 7+ years of experience across banking, insurance, and fintech domains. Proficient in manual, API, mobile, and backend testing with expertise in Postman, Swagger, and JSON validation. Currently building automated regression suites using Python, Playwright, and pytest at Angel One. Leverages AI tools including ChatGPT, GitHub Copilot, and Gemini to accelerate test case design, with foundational knowledge of Agentic AI concepts. Skilled in Agile/Scrum delivery, defect tracking via Azure DevOps and JIRA, and cross-functional collaboration.
Aditya Degree College
Bachelor of Science (B.Sc.) · Computer Science and Technology
August 1, 2015 – June 30, 2018
Angel One
QA Engineer
September 1, 2023 – Present
India
Accenture
QA Insurance Delivery Associate
August 1, 2021 – September 1, 2023
India
WNS Global Solutions
QA Associate
September 1, 2020 – August 1, 2021
India
Concentrix
QA Associate
June 1, 2018 – July 1, 2020
India
Cultural Fit Analysis
The candidate has worked across multiple industries (fintech, insurance, banking, retail) and companies (Angel One, Accenture, WNS, Concentrix), demonstrating adaptability and exposure to various organizational cultures. Their proactive adoption of AI tools for testing suggests a forward-thinking approach that aligns well with innovative and tech-driven environments. The breadth of skills and methodologies used indicates a willingness to learn and apply new techniques, which is positive for cultural fit in dynamic teams.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with solution architects, business analysts, and participation in defect triage and daily Scrum updates, indicating good team collaboration and communication skills. Experience in preparing QA release notes and communicating updates to stakeholders suggests strong operational fit and reporting capabilities. The use of AI tools also points to an innovative and adaptable mindset.