Dmitry Belyakin is a DevOps engineer with 11 years of experience building and operating Linux-first infrastructure and CI/CD pipelines for enterprise and edge computing projects. Currently at SBER, he previously applied deep learning software engineering and DevOps practices at Intel and led platform modernization and Kubernetes/Cluster API work at Orion Innovation. His background includes low-level systems development in C, maintaining libev-like IPC libraries, and automating environments with Python and Jenkins—skills that give him a rare blend of systems programming and cloud-native tooling expertise. He has hands-on experience with multicluster, Metal3 and KubeFed-based edge provisioning, reflecting a focus on robust, distributed deployments. Based in Nizhny Novgorod with a degree in Mathematics and Computer Science, Dmitry also taught Linux courses, indicating a penchant for mentoring and knowledge transfer. Notably, his career bridges embedded/Linux internals and modern Kubernetes ecosystems, enabling pragmatic solutions across the stack.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
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