Anuja Juvekar
About Anuja Juvekar
Anuja Juvekar is a Lead Quality Assurance Engineer with extensive experience in automation testing and quality assurance processes. She has worked at notable companies such as American Express and Cummins Inc., and has developed skills in defect management and test automation frameworks.
Current Role at Brillio
Anuja Juvekar serves as the Lead Quality Assurance Engineer at Brillio, a position she has held since 2019. In this role, she is responsible for overseeing quality assurance processes and ensuring the delivery of high-quality software products. Her expertise in quality assurance methodologies contributes to the effectiveness of the team and the overall success of projects.
Previous Experience at American Express
Anuja Juvekar worked at American Express in various capacities from 2010 to 2018. Initially, she served as a QA Automation Tester and Mainframes Tech Lead at Syntel for six years, where she utilized JDBC in automation test scripts and created dashboards using Splunk SPL and HTML to monitor testing metrics. Later, she transitioned to a Senior Automation QA Tester role at Cognizant for two years, where she developed functions for a test automation framework, enhancing the efficiency of the quality assurance process.
Early Career at Cummins Inc. and Merrill Lynch
Anuja began her career at Merrill Lynch as a Project Lead for one year from 2006 to 2007. She then joined Cummins Inc. as a Developer for eight months in 2009. These early roles provided her with foundational experience in software development and project management, contributing to her expertise in quality assurance.
Technical Skills and Proficiencies
Anuja Juvekar is proficient in defect management using tools such as HP QC/ALM, Rally, and JIRA. Her experience spans both Agile and Waterfall software development life cycles, allowing her to adapt to various project needs effectively. Additionally, her skills in creating dashboards and utilizing automation frameworks enhance her contributions to quality assurance processes.