Mukul Verma
About Mukul Verma
Mukul Verma is a Senior Software Development Engineer 2 at DataCore Software, where he has worked remotely since 2023. He has extensive experience in software development, particularly in programming languages such as C, C++, Go, and Python, and has held various technical roles at companies including Cohesity and NetApp.
Work at DataCore Software
Mukul Verma has been employed at DataCore Software as a Senior Software Development Engineer 2 since 2023. He works remotely and has accumulated one year of experience in this role. His responsibilities include developing software solutions that enhance data storage and management capabilities.
Previous Experience at Cohesity
Prior to his current role, Mukul Verma worked at Cohesity as a Senior Member of Technical Staff from 2021 to 2023. During his two years at Cohesity, he contributed to the development of data management solutions, leveraging his expertise in software engineering.
Experience at NetApp
Mukul Verma has extensive experience at NetApp, where he held the positions of MTS SW3 and MTS SW2 from 2017 to 2021. His tenure at NetApp spanned four years, during which he focused on software development related to storage solutions and contributed to various projects involving file systems and network protocols.
Education and Expertise
Mukul Verma earned his Master of Technology (MTech) in Information Technology from the Indian Institute of Technology, Kharagpur, from 2015 to 2017. He also holds a Bachelor of Engineering (BEng) in Electronics and Computer from M.B.M. Engineering College, Jodhpur, completed from 2011 to 2014. His educational background supports his strong skills in programming languages such as C, C++, Go, and Python.
Technical Skills and Specializations
Mukul Verma possesses a deep understanding of file systems and network protocols, including NAS and SAN technologies. He has significant experience with containerization technologies like Docker and Kubernetes, as well as micro-service architectures. His specialization includes high-availability clustering and scale-out solutions, focusing on distributed programming and multi-thread programming.