Customer Engineer - Google Distributed Cloud, Strategic Pursuits, LATAM
São Paulo, Brazil
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Summary
👤
Senior
🎓
Top School
Marcelo Parisi is a seasoned cloud and infrastructure engineer with 26 years of experience, currently driving strategic pursuits for Google Distributed Cloud across LATAM. He blends deep hands-on expertise in Kubernetes, Istio, virtualization and Linux/Unix infrastructure with a long consulting track record across telecom, finance, government and industrial sectors, helping large organizations design and execute complex cloud migrations and hybrid architectures. A certified Cloud Architect and Kubernetes specialist with prior senior roles at IBM, AWS and Oracle, he pairs solution-selling with technical delivery and performance tuning. Marcelo is also an active open-source contributor—he extended kubevirt to support VirtualMachinePools subresources and RBAC—demonstrating practical impact on cloud-native virtualization. Based in São Paulo, he thrives in high-stakes environments where architecture, security and operational reliability intersect.
26 years of coding experience
5 years of employment as a software developer
TOEFL & English Proficiency Certification, TOEFL & English Proficiency Certification at Fisk
BS Computer Engineering, BS Computer Engineering at Veris Metrocamp
Computer Engineering, Computer Engineering at Pontifícia Universidade Católica de Campinas
Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
Role in this project:
Back-end Developer
Contributions:3 reviews, 1 PR, 23 comments in 1 year 10 months
Contributions summary:Marcelo primarily focused on extending the functionality of the `kubevirt` project, specifically concerning the management of VirtualMachinePools. Their contributions involved adding support for subresources, like status and scale, to the VirtualMachinePools API. They also implemented logic to compute the ReadyReplicas count and adapted unit tests to reflect the newly added subresources. Furthermore, they integrated RBAC for accessing the subresources.
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