Full-Time Kubernetes DevOps Engineer

We are looking for a skilled Kubernetes DevOps Engineer to drive end-to-end custom integration across our k0rdent-ai platform. You will collaborate with our engineering teams to design and deliver scalable AI infrastructure on Kubernetes environments. Your responsibilities will include contributing to open-source projects, making strategic architectural decisions, and partnering with external organizations to integrate cutting-edge solutions. Working within an agile framework, you will directly impact how enterprises deploy and manage AI workloads at scale.

• Design, implement, and document Kubernetes hardened integrations that connect with enterprise customer environments
• Build comprehensive automation pipelines for infrastructure provisioning and service deployment across hybrid cloud architectures
• Provide operational support by diagnosing, triaging, and resolving complex system issues with clear prioritization based on customer business impact
• Work with core cloud-native technologies and AI frameworks including k0rdent, k0s, k0smotron, Kubeflow, Kserve, vLLM, Nvidia AI Enterprise, Kubevirt, Harbor, ArgoCD, Grafana monitoring platforms and more
• Partner closely with customer development teams to ensure successful application deployment and optimization on Kubernetes infrastructure

Strong Kubernetes expertise as a user and operator
Strong knowledge of hardened, high-quality Kubernetes integration
General experience with Linux, virtualization, networking, and storage
Overall system architecture, scalability, reliability, and performance experience
Experience in debugging, diagnosing, and troubleshooting complex production software
Experience in developing and maintaining services built on microservice architecture
Experience in large enterprise IT ecosystem
Preferably a university/master degree in Mathematics, Electronics, Telecommunications, or Software Engineering
Excellent communication in English - written and spoken

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