Oleg Smirnov is a DevOps engineer with 8 years of experience building and operating cloud-native infrastructure and distributed backend systems, currently running production deployments for AI Platform services at JetBrains. He combines hands-on Linux GPU host administration and Kubernetes expertise with practical experience across GCP, AWS, CI/CD, DB migrations and monitoring, and has driven migrations from bare-metal VMs to Kubernetes. Oleg built a reusable performance-testing layer used by 20+ services and helped roll out a low-latency, multi-regional code search service that leverages Kubeflow pipelines and Cassandra experiments. Earlier roles include architecting a company-wide code-intelligence platform analyzing millions of repos and publishing research on program refactorings and code change patterns, reflecting a rare mix of production engineering and academic rigor. Based in Amsterdam, he’s comfortable bridging R&D ML teams’ needs with scalable operational practices and often surfaces pragmatic, research-backed solutions in production.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Saint Petersburg State University
Contributions:2 releases, 33 reviews, 219 commits in 1 year 4 months
pythonbuild-system
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