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Senior Automation Engineer with 4+ years in scalable automation frameworks for web, API, and mobile
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Automation Engineer with 4.8 years of experience designing scalable automation frameworks for web, API, and mobile platforms using Selenium, Karate, and RestAssured. Delivered 40% reduction in manual testing efforts at Paytm through end-to-end automation of 3-4 insurance products. Proficient in BDD (Cucumber), CI/CD pipelines, and AI-powered testing tools (GitHub Copilot, Cursor AI). Strong domain exposure across Fintech, Banking, and Telecom verticals.
Biju Patnaik University of Technology, Odisha
B.Tech · Mechanical Engineering
August 1, 2013 – June 30, 2017
Paytm
Automation Engineer
October 1, 2023 – April 1, 2025
India
Tech Prescient
Automation Engineer
January 1, 2023 – May 1, 2023
India
Cognizant (Source One Management – US Bank)
Test Engineer
August 1, 2021 – September 1, 2022
India
Persistent Systems (Zclus)
Test Engineer
November 1, 2020 – May 1, 2021
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Tech Mahindra
Software Engineer
June 1, 2019 – March 1, 2020
India
Cultural Fit Analysis
The candidate's experience across multiple companies (Paytm, Tech Prescient, Cognizant, Persistent Systems, Tech Mahindra) and diverse project domains (insurance, banking, telecom) indicates adaptability and a broad skill set. Their involvement in mentoring and cross-training suggests a team-oriented approach. The continuous adoption of new tools, including AI, shows a proactive learning attitude, which aligns well with dynamic, innovative cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile Scrum environments, collaboration with developers and product owners, and proactive monitoring of production issues using tools like Grafana and Kibana. Their mentorship experience also indicates leadership potential and a collaborative mindset. The use of AI tools suggests an adaptive and efficiency-driven approach.