Help & Supportcareers@gravityer.com
Lead Automation Engineer with 6+ years in AI-driven Test Automation & CI/CD
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Automation Lead with 6+ years of experience in designing and implementing scalable test automation frameworks for Web, API, Mobile, and Database applications. Expertise in Selenium WebDriver (Java), Cucumber BDD, AI-driven test automation (testRigor), and API validation using Postman. Proven track record in leading automation teams, building CI/CD integrated test pipelines, and increasing automation coverage across enterprise platforms. Experienced in Agile/Scrum delivery, AI-assisted test generation, and end-to-end quality engineering for high-availability systems.
Kumaraguru College of Technology
M.E. · Communication Systems
August 1, 2015 – June 30, 2017
Adithya Institute of Technology
B.E. · Electronics & Communication
August 1, 2012 – June 30, 2015
Sri Ramakrishna Polytechnic College
Diploma · Electronics & Communication
N/A – June 30, 2012
Nous Infosystems
QA Automation Lead / Senior QA Engineer
November 1, 2023 – Present
India
Stratosphere IT Services
Lead/Senior Software Test Engineer
July 1, 2021 – October 1, 2022
India
Azura Software Solutions
Quality Assurance Engineer
December 1, 2018 – June 1, 2021
India
Tosca certification
Unknown
June 1, 2026 – Present
AI-Driven Test Automation Engineer
testRigor
January 1, 2025 – Present
Certified ACCELQ Automation Expert
ACCELQ
January 1, 2025 – Present
Certified ACCELQ Automation Engineer
ACCELQ
January 1, 2025 – Present
Postman API Fundamentals Student Expert
Canvas Credentials / Badgr
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies and diverse project domains (Hospitality, Banking, ERP, Salesforce) suggests adaptability and a broad perspective, which are positive indicators for cultural fit. Their proactive pursuit of certifications, especially in AI-driven automation, shows a commitment to continuous learning and staying current with industry trends. The leadership roles and team management experience also point to a collaborative and influential presence.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills, having led QA delivery for large teams (8 and 24 members). Their experience in Agile/Scrum methodologies, collaboration with DevOps, and focus on faster release cycles indicate a good operational fit for dynamic environments. The emphasis on AI-driven automation and continuous improvement aligns well with modern quality engineering practices.