Abhiram Padala

Lead Sdet @ Rafay

About Abhiram Padala

Abhiram Padala is a Lead SDET currently working at Rafay in Bengaluru, Karnataka, India. He has a background in software development and testing, with previous experience at VMware and DXC Technology, and holds a Bachelor's Degree in Computer Science from GITAM Deemed University.

Work at Rafay

Abhiram Padala has been serving as the Lead SDET at Rafay since 2020. In this role, he oversees the development and implementation of automated testing strategies. His responsibilities include creating Jenkins job instances for running automated test scripts on Docker and Kubernetes clusters. His experience in this position contributes to the overall quality assurance processes within the organization.

Previous Experience at VMware

Before joining Rafay, Abhiram Padala worked at VMware as an SDET from 2019 to 2020 in Bengaluru, Karnataka, India. During his tenure, he focused on enhancing software testing processes and contributed to the automation of testing frameworks. His experience at VMware provided him with valuable insights into software development and testing methodologies.

Career at DXC Technology

Abhiram Padala worked as a Software Engineer at DXC Technology from 2016 to 2019 in the Bengaluru Area, India. In this role, he developed automation frameworks for web applications and REST services using data-driven utilities. He also created automation test suites for microservices and CLI applications, enhancing the efficiency of the testing process.

Educational Background

Abhiram Padala earned a Bachelor’s Degree in Computer Science from GITAM Deemed University, where he studied from 2012 to 2016. Prior to that, he attended Sasi Junior College, focusing on Junior High/Intermediate/Middle School Education from 2010 to 2012. His foundational education began at Madhuri Vidyalaya, where he completed his High School education from 2000 to 2010.

Technical Skills and Projects

Abhiram Padala has developed a range of technical skills throughout his career. He has worked on a defect prediction AI/ML tool using Python and the Django REST framework. Additionally, he has handled end-to-end test automation for order fulfillment, involving applications such as Oracle EBS, SFDC, SAP Hana, and various SOA and microservices.

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