Soporte MOAB Cloud Clustering at Global Computing and Telecoms
Mexico City
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Summary
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Rockstar
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Top School
Javier Lopez is a seasoned cloud and HPC engineer with 14+ years building and supporting high-performance clusters across Mexico, from early InfiniBand-based supercomputers to modern NVIDIA GPU-virtualized cloud instances. Currently leading MOAB cloud clustering at Global Computing, he blends hands-on systems engineering with DevOps practices and a polyglot toolset (Go, Python, PHP, Kubernetes). At LUFAC he helped pioneer Mexico’s first production cluster deployments and continues to advise on hybrid GPU/Xeon Phi architectures for research workloads. He is an active open-source contributor on projects like Rook, improving Kubernetes storage orchestration and CRD automation—work that underscores his focus on robust, scalable infrastructure. Comfortable across low-level system tuning and higher-level orchestration, he pairs deep operational experience with software-first solutions for complex compute environments.
14 years of coding experience
Lic. en Sistemas Computacionales, Sistemas Operativos, Lic. en Sistemas Computacionales, Sistemas Operativos at UNAM
Contributions:23 reviews, 16 PRs, 43 comments in 9 months
Contributions summary:Javier made significant contributions to the Rook project, specifically focusing on storage orchestration for Kubernetes. Their work included implementing features related to device filtering within the OSD component, enhancing the flexibility of storage configuration. Additionally, they were involved in automating documentation generation for Custom Resource Definitions (CRDs) and updating test files to support Ceph Reef v18, reflecting their role in both development and testing aspects of the project. They also addressed code quality and standardization by using flags with `--default` prefix.
Contributions:2 PRs, 11 pushes, 2 branches in 2 years 5 months
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Javier Lopez - Soporte MOAB Cloud Clustering at Global Computing and Telecoms