Senior Distributed System Engineer
September 15
Description
• Manage GPU systems across cloud providers, from single-node to large clusters • Implement GPU provisioning and lifecycle management using cloud-native solutions • Develop and maintain scalable Go programs in Kubernetes environments • Create next-generation multi-cloud infrastructure management systems • Support users through bug fixes, documentation, and feature improvements
Requirements
• BS or higher in Computer Science or equivalent experience • 5+ years of industry experience with strong Kubernetes and SRE background • Expertise in cloud-native ecosystem and modern distributed systems • Proficiency in software development lifecycle • Business-level English communication skills • Experience with GPU programming (CUDA) and Kubernetes internals • Development of Kubernetes operators • Implementation of network-as-code architectures and custom Kubernetes clusters • GitOps stack implementation (preferably ArgoCD)
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