Help & Supportcareers@gravityer.com
QA Automation Engineer with 4+ years in Banking & E-Commerce
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 Test Engineer with 4+ years of hands-on experience in Manual, Automation, API, and Performance Testing across Banking and E-Commerce domains. Proficient in designing robust automation frameworks using Selenium WebDriver, Playwright (JavaScript), TestNG, and Cucumber BDD. Experienced in integrating automated tests into CI/CD pipelines using Jenkins and Maven, and validating backend systems using SQL. Adept at working in Agile/Scrum environments with strong defect management skills using JIRA. Proven track record of reducing manual testing effort by 30–40% through effective automation strategies.
Shivaji University
Bachelor of Engineering · Computer Engineering
N/A – June 30, 2022
Anutham Technologies Pvt Ltd.
Software Test Engineer
March 1, 2023 – Present
India
Mphasis Pvt Ltd.
Software Test Engineer
October 1, 2021 – February 1, 2023
India
Cultural Fit Analysis
The candidate's experience across two distinct domains (Banking & Financial Services, E-Commerce) and their proficiency in a wide array of modern QA automation tools and methodologies suggest adaptability and a willingness to learn new technologies. Their focus on reducing manual effort and improving test coverage aligns with a culture that values efficiency and continuous improvement. The breadth of their technical skills and project diversity indicates a good potential cultural fit for dynamic and technically driven teams.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a QA Automation Engineer role, evidenced by their experience in Agile methodologies, defect tracking with JIRA, and collaboration with development teams. Their professional summary and experience descriptions indicate a results-oriented approach, focusing on efficiency and quality. However, without direct interview data, specific soft skills like leadership, conflict resolution, or advanced communication nuances cannot be fully assessed.