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Lead Automation Engineer with 4+ years in QA & CRM solutions.
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Assessing your cultural and operational fit
Results-driven QA Team Lead with over 4 years of experience in delivering high-quality CRM web and mobile solutions. Proven track record of reducing production issues by 40% and decreasing regression cycles by 20% through strategic automation and process optimization. Expert in leading Agile teams and bridging the gap between manual testing and automated framework development.
Mailam Engineering College, Anna University
Bachelor of Engineering · Mechanical Engineering
August 1, 2016 – June 30, 2020
RSoft Technologies
QA Team Lead
April 1, 2022 – Present
Chennai, Tamil Nadu, India
CRM Mobile Application (Android & iOS)
April 1, 2022 – June 1, 2026
Validated GPS-based attendance tracking and real-time live location updates. Conducted testing for app responsiveness, memory usage, and battery optimization. Performed backend service validation for offline functionality and data synchronization.
SalezRobot CRM (Web Application)
April 1, 2022 – June 1, 2026
End-to-end manual and automated testing of lead, contact, and task management modules. Validated Telecmi IVR configurations, call routing, and telephony integrations. Verified WhatsApp and Facebook Meta Provider integrations for seamless CRM communication. Enhanced the CRM auto-dialer feature, improving call-handling efficiency by 30%.
Postman API Fundamentals Student Expert
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in leading teams, improving processes, and engaging in R&D activities suggests a proactive and growth-oriented mindset, which aligns well with dynamic tech environments. Their focus on reducing production issues and improving test coverage indicates a commitment to quality and efficiency. The diverse project experience, including CRM web and mobile applications, shows adaptability. The role as a QA Team Lead aligns directly with the target role of Lead Automation Engineer, indicating a strong cultural and functional fit for a leadership position in automation.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and team management skills, evidenced by leading a team of QA engineers, overseeing task allocation, and improving team efficiency. Their experience in R&D, UI/UX prototyping with Figma, and technical documentation indicates a proactive approach to product quality and cross-functional collaboration. The ability to transition from manual to hybrid testing and establish STLC processes highlights operational improvement capabilities. The candidate's willingness to relocate and immediate/30-day notice period suggests good operational flexibility.