Cezar Espinola is a seasoned software engineer with 19 years of experience building highly scalable systems, currently focused on systems development and infrastructure orchestration using Go. He has shipped end-to-end solutions—from architecture and deployment to monitoring and scaling—for platforms that serve millions, including long-term work at Globo where he helped build and operate Tsuru, an open-source PaaS managing thousands of apps and tens of thousands of containers. His open-source contributions span notable projects like Kubernetes-adjacent tooling, Docker ecosystems, and Thumbor (image processing), where he implemented native C optimizations and advanced filters. Comfortable across stacks (Go, Python, Ruby, JavaScript) and production operations, he blends backend engineering with DevOps instincts. Based in Brasília, he brings a pragmatic, systems-first approach informed by deep testing and performance work across language runtimes and container tooling.
19 years of coding experience
15 years of employment as a software developer
Bachelor's degree, Ciência da Computação, Bachelor's degree, Ciência da Computação at Universidade Estadual de Santa Cruz
Contributions:75 commits, 22 PRs, 43 pushes in 6 years 10 months
Contributions summary:Cezar primarily contributed to the testing framework of the go-dockerclient project. They added features for simulating failures in specific API calls within the test server, enhancing the testing capabilities. Additionally, they implemented new methods, such as Ping and TopContainer, and refactored image handling within the testing server. These changes focused on expanding the functionality and reliability of the testing environment for the Docker client library.
thumbor is an open-source photo thumbnail service by globo.com
Role in this project:
Back-end Developer
Contributions:203 commits, 1 push, 1 comment in 3 years 10 months
Contributions summary:Cezar primarily contributed to enhancing the functionality of the thumbor image processing service by adding new filters, including contrast, brightness, RGB, rounded corners, noise, and quality adjustments. They focused on improving performance through native (C) implementations for the brightness and contrast filters and optimizing the image processing pipeline, demonstrating a strong understanding of image manipulation techniques. The user also refactored filter parsing and handling, allowing for support for filters in various phases of the image processing lifecycle.
imagethumbnailglobothumborphoto
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.