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Lead Automation Engineer with 6+ years in Card Management & FinTech domains.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Automation Engineer with 6+ years of experience in Card Management, FinTech, and Investment Banking domains. Strong expertise in card transaction testing, CMS validation, and end-to-end payment processing. Improved automation coverage by 60% at TCS. Skilled in ISO 8583 validation, UAT, and Agile delivery. Open to relocation.
Pravara Rural Engineering College, Loni
Bachelor of Engineering
March 1, 2015 – March 1, 2019
TATA CONSULTANCY SERVICES
QA Automation Lead (Card Systems / NewDay Project)
May 1, 2022 – Present
Pune, Maharashtra, India
Kanban Engineering Solutions Pvt. Ltd.
QA Automation Engineer
October 1, 2020 – May 1, 2022
Pune, Maharashtra, India
BrainSIS Engineering Solutions
Pune
July 1, 2019 – June 1, 2020
Pune, Maharashtra, India
Selenium with Java – Self Practiced
Unknown
June 1, 2026 – Present
Agile Testing – TCS Internal Training
TCS
June 1, 2026 – Present
GenAI Testing for Automation – Ongoing
Unknown
June 1, 2026 – Present
AI Testing Techniques – Ongoing
Unknown
June 1, 2026 – Present
REST API Testing – Trained
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies (TCS, Kanban Engineering, BrainSIS Engineering) and diverse project domains (Card Management, FinTech, Investment Banking) indicates adaptability and a broad perspective. Their leadership role at TCS, including mentoring and contributing to Agile ceremonies, suggests a collaborative and team-oriented mindset. The ongoing certifications in GenAI and AI Testing demonstrate a commitment to continuous learning and staying current with industry trends, which is a strong cultural fit for innovative environments. The candidate's focus on improving efficiency through automation and their structured approach to testing align with a results-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, communication, and collaboration skills, as evidenced by their leadership roles and contributions to team mentoring and agile processes. Their experience in managing defect lifecycles and designing comprehensive test scenarios (including edge cases and negative testing) indicates a meticulous and thorough operational approach. The candidate's willingness to relocate and ongoing training in GenAI and AI testing techniques suggest adaptability and a proactive attitude towards learning and adopting new technologies, which aligns well with a dynamic lead role.