Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

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

Qualifications

• 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

Nice to Have

• OpenStack experience - familiarity with the APIs as a user
• Experience handling talks at events and running webinars
• Experience in onboarding applications to the cloud
• Production operations experience
• Experience with design, development, testing, and monitoring of large-scale and data-intensive systems
• Experience with operating AI-related workloads