Nikita Varentsov
About Nikita Varentsov
Nikita Varentsov is the Director of Engineering at Inkitt, where he has significantly improved engineering productivity and led key security initiatives. He previously held various engineering roles at Inkitt and worked as a Lead Software Engineer at Neuron Digital.
Current Role at Inkitt
Nikita Varentsov serves as the Director of Engineering at Inkitt, a position he has held since 2022. In this role, he oversees engineering operations and contributes to strategic initiatives aimed at enhancing the company's technological capabilities. His leadership focuses on improving engineering productivity and implementing best practices in software development.
Previous Experience at Inkitt
Prior to his current role, Varentsov held multiple positions at Inkitt, including Engineering Manager and Head of Platform Engineering from 2020 to 2022, and Lead Software Engineer from 2019 to 2020. During his tenure, he played a significant role in improving engineering productivity through automation, CI/CD, and load testing, which notably increased deployment frequency.
Experience at Neuron Digital
Before joining Inkitt, Varentsov worked at Neuron Digital as a Lead Software Engineer from 2015 to 2019 in Nizhniy Novgorod, Russia. His responsibilities included leading software development projects and contributing to the overall engineering efforts of the company.
Education and Expertise
Varentsov studied at Nizhniy Novgorod State Technical University named after R.Y. Alekseev (NSTU), where he earned a Bachelor's degree in Information Technology from 2013 to 2017. His educational background provides a strong foundation for his expertise in software engineering and technology management.
Contributions to Inkitt's Growth
Varentsov played a crucial role in Inkitt's management team during the company's Series B funding round, which achieved a valuation exceeding $300 million, led by Kleiner Perkins and NEA. He also established a dedicated team of data engineers, enhancing the company's capacity to process large volumes of data and implementing robust monitoring for data pipelines.