Viktoras Makauskas

Technical Lead @ CAST

About Viktoras Makauskas

Viktoras Makauskas is a Technical Lead at CAST.AI with extensive experience in designing high-availability systems and performance optimization. He has a strong background in cloud services and agile methodologies, having previously held positions at IBM, Danske Bank, and Osmo Production Oy.

Work at CAST.AI

Viktoras Makauskas has been serving as a Technical Lead at CAST.AI since 2019. In this role, he focuses on leveraging his expertise in cloud services and Kubernetes to enhance the company's offerings. His responsibilities include designing high-availability systems and optimizing performance. He emphasizes continuous delivery and GitOps-based practices to streamline development processes.

Previous Experience in IT Architecture

Before joining CAST.AI, Viktoras Makauskas worked at Danske Bank as a Senior Software Architect from 2015 to 2018. He also held the position of Senior Solution Architect at the same organization from 2018 to 2019. Prior to that, he was an IT Architect at IBM from 2014 to 2015 and a Java Developer from 2011 to 2014. His diverse roles have contributed to his extensive knowledge in system design and architecture.

Educational Background

Viktoras Makauskas earned a Bachelor's degree in Information Technology from Kaunas University of Technology, where he studied from 2000 to 2004. This educational foundation has equipped him with the necessary skills and knowledge to excel in various technical roles throughout his career.

Expertise in Cloud Services and Automation

Viktoras Makauskas possesses deep expertise in major cloud services, including AWS, GCP, Azure, and DigitalOcean. He specializes in the automation of both routine and complex tasks to enhance efficiency. His strong focus on continuous delivery and agile methodologies reflects his commitment to improving development processes and application performance.

Technical Skills and Interests

Viktoras Makauskas is comfortable with multiple programming languages, including Golang, Python, and C++. He has a keen interest in simple design principles and continuous refactoring, which he believes are essential for optimizing application performance. His frustration with slow change management processes drives his preference for agile methodologies that allow for quick iterations.

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