Sriharsha Namilakonda
About Sriharsha Namilakonda
Sriharsha Namilakonda is a Backend Engineer at Backbase in Hyderabad, India, with expertise in full stack application development and a background in software engineering from Lowe's India. He holds a Bachelor of Technology in Computer Engineering from the National Institute of Technology, Kurukshetra, and is an Oracle Certified Professional for Java SE 11.
Work at Backbase
Sriharsha Namilakonda has been employed at Backbase as a Backend Engineer since 2023. He operates in a hybrid work environment based in Hyderabad, Telangana, India. In this role, he focuses on backend development, contributing to the company's initiatives in financial technology.
Previous Experience at Lowe's India
Prior to joining Backbase, Sriharsha Namilakonda worked at Lowe's India for two years, from 2021 to 2023. He held the position of Software Engineer and was responsible for various software development tasks. Before that, he served as an Associate Software Engineer at the same company from 2020 to 2021, where he gained foundational experience in software engineering.
Education and Expertise
Sriharsha Namilakonda earned a Bachelor of Technology in Computer Engineering from the National Institute of Technology, Kurukshetra, Haryana, completing his studies from 2016 to 2020. He possesses skills in full stack application development, particularly using Node.js with the Express framework and React.js. He is also an Oracle Certified Professional for Java SE 11.
Technical Skills and Tools
Sriharsha Namilakonda has expertise in developing micro-service and batch applications using Java with the Spring framework. He is experienced in utilizing various databases, including MySQL, Postgres, MongoDB, Redis, Couchbase, and Elasticsearch. His proficiency extends to testing applications with tools such as Junit, Rest Assured, Jest, and React Testing Library.
DevOps Knowledge
Sriharsha Namilakonda has knowledge in DevOps practices, including the use of Docker, Jenkins, and Kubernetes. He is capable of dockerizing applications and deploying them in Google Cloud Platform (GCP). Additionally, he utilizes event streaming platforms like Apache Kafka and Apache Spark for big data processing with GCP Data Proc.