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Senior Automation Engineer with 5+ years in QA Automation & API Testing
Over 5+ years of experience in Automation and Manual Testing, including Web, API, and Database testing across domains like Banking, Healthcare, and eCommerce. Strong expertise in Selenium WebDriver with Java, along with hands-on experience in building and maintaining automation frameworks such as POM, Hybrid, and BDD using Cucumber. Proficient in TestNG, JUnit, and Maven, ensuring scalable and maintainable automation test suites. Skilled in API Testing using Postman for manual validation and Rest Assured for automation of RESTful services. Good knowledge of JavaScript and Python, used for automation scripting and lightweight test utilities. Deep understanding of Agile/Scrum methodologies, actively involved in sprint ceremonies, backlog grooming, and story estimation. Experienced in setting up and maintaining CI/CD pipelines with Jenkins, integrating automation tests with nightly builds and regression cycles. Familiar with Git/GitHub for version control and collaborative development with multiple QA and development teams. Proficient in SQL, used for validating backend data and writing complex queries for test verification. Exposure to cross-browser and cross-platform testing using tools like Selenium Grid and Browser Stack. Strong experience in Defect Tracking & Test Management tools like JIRA, Zephyr, TestRail, and Confluence. Exposure to performance testing using JMeter (basic to intermediate level). Hands-on experience in mobile testing and automation using Appium (if applicable). Involved in test strategy, test planning, and effort estimation for both functional and automation testing activities. Excellent understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
BIJUPATNAIK UNIVERSITY
B.TECH · EEE
August 1, 2014 – June 30, 2018
Capgemini (Payroll: Jasal Technologies)
Test Engineer
August 1, 2023 – Present
India
Wipro
Senior Associate Test Engineer
February 1, 2020 – December 1, 2022
India
Agent Assist - Gupshup
August 1, 2023 – June 1, 2026
Agent Assist is an AI-powered conversational assistant platform developed by Gupshup designed to enhance customer support operations by providing real-time assistance to support agents. The system integrates Natural Language Processing (NLP) and machine learning algorithms to automate common customer queries, suggest relevant responses, and streamline ticket resolution workflows. The platform supports multi-channel communication including chat, email, and social media, enabling businesses to deliver faster and more efficient customer service.
Client Central
February 1, 2020 – December 1, 2022
Client Central is a secure, web-based platform developed for Charles Schwab to streamline communication between investors and financial advisors. It offers modules for investment management, trading, and wealth advisory services, supporting millions of client accounts. The platform ensures performance, regulatory compliance, and accessibility across web and mobile interfaces.
Customer Information System – GO-AI
February 1, 2020 – December 1, 2022
GO-AI is an internal tool developed for Nike to streamline support operations for associates handling live job activities. It automates the communication process between associates and OSEs (Operational Support Experts), replacing manual workflows with a centralized platform for submitting, reviewing, and resolving job-related assistance requests. The tool enhances operational efficiency by providing real-time notifications, automated doubt resolution, and visibility into all ongoing tasks through a unified dashboard.
Cultural Fit Analysis
The candidate's experience across multiple large organizations (Capgemini, Wipro) and diverse project domains (AI, Finance, E-commerce) indicates adaptability and a willingness to work in varied environments. The focus on collaborative tools (JIRA, Git/GitHub) and Agile methodologies suggests a team-oriented approach. The detailed project descriptions highlight a structured and process-driven mindset, which aligns well with organizations valuing robust QA practices. The candidate's profile shows a consistent career path in test engineering, demonstrating commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through active participation in Agile ceremonies, defect management, and collaboration with cross-functional teams. The detailed descriptions of responsibilities indicate a proactive approach to test strategy, planning, and reporting. The experience across diverse domains (Conversational AI, Investment Banking, E-Commerce) suggests adaptability and a broad understanding of different business contexts. The emphasis on BDD and clear communication with stakeholders points to good collaboration skills.