Shamanth Chandra
About Shamanth Chandra
Shamanth Chandra is a Software Development Engineer in Test (SDET) currently working at Yugabyte in Bengaluru, India. He has extensive experience in software quality assurance, specializing in testing distributed systems and data integration.
Work at Yugabyte
Shamanth Chandra has been working at Yugabyte as a Software Development Engineer in Test (SDET) since 2022. In this role, he focuses on testing distributed systems, particularly in the areas of data integration and databases. He employs chaos testing and monkey testing techniques to stress test database features, ensuring the robustness of the database systems. His work contributes to the overall quality and reliability of YugabyteDB, a database designed for cloud-native applications.
Previous Experience in Software Quality Assurance
Before joining Yugabyte, Shamanth Chandra held several positions in software quality assurance. He worked at Acceldata as a Senior SDET from 2021 to 2022, where he contributed to quality assurance processes for data management solutions. Prior to that, he spent four months as a Lead Software QA Engineer at Informatica in 2021. His career at Informatica also included roles as a Software QA Engineer from 2015 to 2018 and as a Senior Software QA Engineer from 2018 to 2021, where he developed automation frameworks that integrated back end and front end automation best practices.
Education and Expertise
Shamanth Chandra holds a Bachelor's Degree in Computer Science from Dayananda Sagar College of Engineering, which he attended from 2011 to 2015. His foundational education includes a Pre-University course at Christ Junior College from 2009 to 2011 and high school at Deeksha English High School from 2006 to 2009. His academic background supports his expertise in testing distributed systems, data observability, and ETL processes, as well as his experience in cloud and big data environments.
Specialization in Testing Techniques
Shamanth Chandra specializes in testing distributed systems, with a particular emphasis on data integration and databases. He is skilled in utilizing chaos testing and monkey testing techniques to evaluate the robustness of database features. His approach to quality assurance focuses on ensuring that systems can handle unexpected conditions and maintain performance under stress, which is crucial for modern cloud-native applications.