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Engineering Manager with 10+ years in QA Automation and AI Testing
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Assessing your cultural and operational fit
Highly accomplished Senior QA Manager with over 12 years of experience in leading and transforming quality assurance processes. Proven track record in spearheading large teams, implementing advanced test automation frameworks using Selenium, Appium, and TestNG, and leveraging AI for efficient script generation and defect detection. Expertise spans cross-platform testing, project management, and integrating diverse payment gateways, consistently driving significant improvements in delivery efficiency and product quality.
Browserstack Software Pvt Ltd
Engineering Manager- QA
September 1, 2025 – Present
Mumbai, Maharashtra, India
InVideo
Senior QA Manager
September 1, 2021 – September 1, 2025
Mumbai, Maharashtra, India
Invideo
Lead QA Automation Engineer
September 1, 2019 – September 1, 2021
Mumbai, Maharashtra, India
Reliance Jio Infocomm Ltd
Lead QA Automation Engineer
April 1, 2018 – September 1, 2019
Mumbai, Maharashtra, India
Reliance Jio Infocomm Ltd
Senior QA Automation Engineer
April 1, 2016 – April 1, 2018
Mumbai, Maharashtra, India
GlobalLogic India Pvt. Ltd.
QA Automation Engineer
September 1, 2013 – April 1, 2016
Nagpur, Maharashtra, India
Cultural Fit Analysis
The candidate's career progression across multiple companies (GlobalLogic, Reliance Jio, InVideo, Browserstack) and increasing responsibilities indicate adaptability and a drive for growth. Their experience in leading diverse projects and teams, coupled with an interest in leveraging AI for automation, suggests a fit for dynamic, innovation-driven environments. The breadth of skills from core Java to various testing tools and AI platforms indicates a versatile and continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills, evidenced by spearheading team growth, designing training programs, and streamlining processes. Their focus on efficiency improvements and adoption of new technologies like AI for automation suggests a proactive and innovative operational fit. The descriptions indicate a results-oriented approach with clear metrics.