Evgenia Kutsevol
About Evgenia Kutsevol
Evgenia Kutsevol is a Software Test Engineer with extensive experience in automation testing and performance testing. She has worked at FINRA since 2014 and previously held a position as a Business Analyst at Argus Limited.
Work at FINRA
Evgenia Kutsevol has been employed at FINRA as a Software Test Engineer since 2014. In this role, she has implemented automation testing using Selenium WebDriver, core Java, and Maven. This implementation has contributed to enhancing the efficiency of testing processes. She also communicates defects using JIRA, prioritizing them based on severity and impact to streamline the development process. Her work ensures that software products meet quality standards and function correctly across various platforms.
Previous Experience at Argus Limited
Before joining FINRA, Evgenia Kutsevol worked as a Business Analyst at Argus Limited from 2011 to 2013 in Rockville, Maryland. During her time there, she led integration testing efforts, coordinating with multiple application teams to ensure seamless functionality. She utilized Splunk for log verification, which contributed to effective troubleshooting and issue resolution. This experience provided her with a strong foundation in analyzing business requirements and ensuring software quality.
Education and Expertise
Evgenia Kutsevol holds a Master's degree in International Management from Poltava University of Economy and Trade, where she studied from 2004 to 2009. Additionally, she completed a program at Learnix Center, where she studied to become a Quality Assurance Tester. This educational background has equipped her with the knowledge and skills necessary for her roles in software testing and quality assurance.
Technical Skills and Tools
Evgenia Kutsevol possesses a range of technical skills relevant to her role as a Software Test Engineer. She has utilized Sauce Labs to execute automation suites across various platforms, ensuring cross-platform compatibility. She has developed performance tests using JMeter to ensure system reliability and scalability. Her expertise in automation testing, log verification, and defect communication tools enhances her effectiveness in software quality assurance.