Mangirdas Judeikis

Staff Engineer @ CAST

About Mangirdas Judeikis

Mangirdas Judeikis is a Staff Engineer currently at CAST AI and a co-founder of Synpse.net. He has extensive experience in software engineering and cloud consulting, having worked with notable companies like Red Hat, Deutsche Bank, and Barclays.

Current Role at CAST AI

Mangirdas Judeikis serves as a Staff Engineer at CAST AI since 2023. His role involves leveraging his expertise in cloud technologies and Site Reliability Engineering (SRE) to enhance the company's offerings. He works remotely from Vilnius, Lithuania, contributing to the development and optimization of cloud solutions.

Previous Experience at Red Hat

Prior to his current position, Judeikis held multiple roles at Red Hat. He worked as a Senior Software Engineer from 2018 to 2019, and later as a Principal Software Engineer from 2019 to 2021. Additionally, he briefly served as a Senior Cloud Consultant for one month in 2018 and as a Cloud Consultant from 2017 to 2018. His work at Red Hat focused on cloud consulting and software engineering.

Work History at Deutsche Bank and Barclays

Judeikis has experience as a Technical Specialist at Deutsche Bank for seven months in 2016, where he was based in London. He also worked at Barclays in various capacities, including as a PAAS Engineer from 2014 to 2016 and as part of the Future Leaders Development Programme from 2012 to 2014. His roles at Barclays involved engineering and development within cloud platforms.

Education and Academic Background

Mangirdas Judeikis studied Telecommunications Engineering at Vilnius Gediminas Technical University (VILNIUS TECH), where he earned a Bachelor of Electronics from 2008 to 2012. He also attended Šilutės Vydūnas Gymnasium from 2004 to 2008, completing his secondary education before pursuing higher studies.

Advocacy for Open Source and Development Practices

Judeikis advocates for the use of open-source development models and emphasizes the 'you touch it, you own it' philosophy in Site Reliability Engineering practices. He favors Kubernetes as a development platform and prefers using Go as his primary programming language, reflecting his commitment to modern software development methodologies.

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