Kubernetes DevOps Engineer - Global k0rdent-ai

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.

Main Responsibilities

• 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