Help & Supportcareers@gravityer.com
QA Automation Engineer with 4+ years in web and finance domain applications, skilled in Java, Seleni
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 Automation Engineer with 3 years 10 months of hands-on experience in designing, developing, and maintaining automation frameworks for web-based and finance-domain applications. Proficient in Selenium WebDriver with Java, TestNG, and Hybrid POM framework design. Demonstrated ability to increase test coverage, reduce regression cycle time, and improve overall software quality. Comfortable working in Agile/Scrum environments with strong collaboration skills across development and product teams.
Sant Gadge Baba Amravati University, Amravati
Bachelor of Computer Applications (BCA)
N/A – June 30, 2024
Bentley Systems India Pvt. Ltd.
QA Automation Engineer
November 1, 2024 – Present
Pune, Maharashtra, India
Bitwise Solutions Pvt. Ltd.
Associate QA Engineer
January 1, 2022 – June 1, 2024
India
Cultural Fit Analysis
The candidate's experience across different domains (E-commerce, Finance) and their active participation in Agile environments suggest a good cultural fit for dynamic, collaborative teams. Their focus on improving test coverage and reducing manual effort aligns with a proactive, efficiency-driven culture. The resume indicates a willingness to collaborate and contribute to team knowledge sharing (peer reviews), which is positive for team-oriented environments. The candidate's experience in building frameworks from scratch and enhancing existing ones shows initiative.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through active participation in Agile ceremonies and close work with developers and cross-functional teams. Their ability to diagnose and resolve flaky tests indicates problem-solving and analytical skills. The experience in improving test suite stability and reducing manual regression cycles points to a results-driven and efficient operational approach. The candidate's experience in diverse domains (E-commerce, Finance) suggests adaptability.