Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Automation Engineer with 10+ years in UI and API Test Automation
Results-driven SDET / QA Automation Engineer with 4+ years of experience in designing, developing, and maintaining scalable test automation frameworks for UI and API testing across enterprise applications. Expert in UI Automation using Selenium WebDriver and Playwright, and API Automation using REST Assured, with strong programming skills in Java. Proven ability to reduce regression effort, improve test coverage, and accelerate release cycles through automation and CI/CD integration. Key strengths include: - Building test automation frameworks from scratch using POM architecture - Automating regression suites and reducing execution time significantly - Implementing API Automation and UI Automation strategies - Integrating automation with CI/CD pipelines (Jenkins) - Working in Agile/Scrum environments with cross-functional teams
Shivaji University
Bachelor of Engineering · Electrical & Electronics
August 1, 2014 – June 30, 2014
Nihilent Ltd
Senior QA Automation Engineer (SDET)
December 1, 2021 – March 1, 2026
Pune, Maharashtra, India
Team Lease Services Ltd.
Site Engineer
February 1, 2016 – December 1, 2021
India
MultiChoice – Clarity Billing System (Fiscalization)
December 1, 2021 – March 1, 2026
Designed and developed a scalable test automation framework from scratch using Selenium WebDriver, TestNG, and Page Object Model (POM). Built and executed UI Automation and API Automation test suites for end-to-end validation of business workflows. Automated 150+ regression test cases, reducing execution time from 2 days to under 4 hours. Implemented API Automation using REST Assured, identifying 30+ critical defects before production release. Integrated automation suite with CI/CD pipeline using Jenkins, enabling continuous testing. Performed functional, regression, integration, and end-to-end testing across 20+ Agile sprints with <3% defect leakage. Developed BDD and data-driven frameworks using Cucumber and TestNG. Managed complete defect lifecycle using Jira and Azure DevOps. Collaborated with cross-functional teams in Agile/Scrum environment to define test strategies and acceptance criteria. Delivered successful on-site QA execution in South Africa with zero production defects at go-live. Used AI tools (ChatGPT, Copilot) to improve productivity by 25%.
SCADA/DMS System – MAHADISCOM
February 1, 2016 – December 1, 2021
Executed functional and system testing for large-scale SCADA/DMS applications. Designed and executed test cases and scenarios based on system requirements. Performed integration testing across RTU/FRTU systems and backend applications. Conducted end-to-end validation of real-time data acquisition systems. Built strong foundation in SDLC, STLC, and defect lifecycle management.
ISTQB Certified Tester – Foundation Level (CTFL)
ISTQB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans different project types, from large-scale SCADA/DMS systems to complex billing systems, indicating adaptability. Their successful on-site QA execution in South Africa with zero production defects at go-live demonstrates a commitment to quality and a results-oriented mindset. The breadth of skills across various automation tools, programming languages, and methodologies suggests a willingness to learn and apply diverse technical solutions. The mention of using AI tools for productivity also points to an innovative and efficiency-driven approach, which aligns well with a forward-thinking technical culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, excellent communication, and stakeholder management, as highlighted in their 'Additional Information' section and implied by their successful on-site QA execution. Their experience in Agile/Scrum environments and collaboration with cross-functional teams indicates a good operational fit for dynamic development teams. The use of AI tools like ChatGPT and Copilot suggests a proactive approach to productivity and learning.