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QA Automation Engineer with 4+ years in Selenium & Python
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Assessing your cultural and operational fit
Senior QA Automation Engineer with 4+ years of experience in enterprise and banking environments, leading end-to-end quality assurance initiatives for high-impact applications. Specialized in building and maintaining scalable automation frameworks using Python, Selenium, and Robot Framework, while integrating quality gates within CI/CD pipelines. Proven ability to improve regression efficiency, reduce production defects, and collaborate cross-functionally to ensure stable and compliant software releases.
Universidad de Colima
Bachelor of Software Engineering
August 1, 2018 – June 30, 2022
Tech Mahindra
Senior QA Engineer
November 1, 2022 – Present
India
Agile Thought
QA Engineer
December 1, 2021 – September 1, 2022
India
ISTQB® Certified Tester Foundation Level (CTFL)
Udemy
January 1, 2026 – January 1, 2026
Robot Framework with Python- Selenium/API Automation Testing
Udemy
January 1, 2026 – January 1, 2026
GitHub Copilot
Tech Mahindra
January 1, 2026 – January 1, 2026
Secure Code Warrior
Scotiabank
January 1, 2025 – January 1, 2025
Cloud Computing Fundamentals
January 1, 2024 – January 1, 2024
Introduction to Generative AI
January 1, 2024 – January 1, 2024
Cultural Fit Analysis
The candidate's experience across two different companies (Tech Mahindra, Agile Thought) and exposure to banking and web applications suggests adaptability. Their certifications, including ISTQB and various technical courses, indicate a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The role as a Senior QA Engineer leading initiatives also points to leadership potential and a willingness to take ownership.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills within Agile/Scrum teams, indicating good operational fit for team-oriented environments. Their experience in leading initiatives and improving defect detection suggests a proactive and quality-focused mindset. The descriptions highlight a results-oriented approach with quantifiable achievements (e.g., 30% improvement in defect detection, 40% reduction in regression execution time).