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Senior Automation Engineer with 10+ years in Automation, API & AI-Driven Testing
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Assessing your cultural and operational fit
Senior Quality Assurance Engineer with 10+ years of experience delivering high-quality web, mobile and enterprise applications across e-commerce, fintech and SaaS platforms. Strong expertise in Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) including functional, automation, API and accessibility testing. Experienced in leveraging AI tools such as ChatGPT, Google Gemini, Jira Ask Rovo, Apple Intelligence and OpenClaw to accelerate test design, debugging, exploratory testing and QA documentation.
Visvesvaraya Technological University
B.Tech · Computer Science & Engineering
August 1, 2010 – June 30, 2014
SS+2 High School
Intermediate
June 1, 2008 – May 31, 2010
Love, Bonito
Senior QA
January 1, 2022 – Present
Singapore, Central Singapore Community Development Council, Singapore
Times Internet
Senior QA
January 1, 2021 – December 31, 2022
Noida, Uttar Pradesh, India
BOLD Technology
Senior QA
January 1, 2018 – December 31, 2021
Noida, Uttar Pradesh, India
Exzeo
QA Engineer
February 1, 2015 – May 31, 2015
Noida, Uttar Pradesh, India
Saksoft
Senior QA
January 1, 2015 – December 31, 2017
Noida, Uttar Pradesh, India
Cultural Fit Analysis
The candidate has experience across e-commerce, fintech, and SaaS platforms, indicating adaptability to different industry domains. Their tenure at various companies, including international experience (Love, Bonito, Singapore), suggests exposure to diverse work environments. The focus on automation and AI aligns with modern, forward-thinking engineering cultures. However, the lack of detailed project descriptions beyond the current role makes a deeper assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through participation in Agile ceremonies and working with product managers and developers. Mentorship experience indicates leadership potential and a commitment to team development. The use of AI tools suggests adaptability and a proactive approach to improving efficiency.