Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

Mirantis • San Jose, CA

6d

About The Position

Mirantis is seeking a skilled Kubernetes DevOps Engineer to drive end-to-end custom integration across their k0rdent-ai platform. The role involves collaborating with engineering teams to design and deliver scalable AI infrastructure on Kubernetes environments. Responsibilities include contributing to open-source projects, making strategic architectural decisions, and partnering with external organizations to integrate cutting-edge solutions. The engineer will work within an agile framework and directly impact how enterprises deploy and manage AI workloads at scale.

Requirements

• 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
• Excellent communication in English - written and spoken

Nice To Haves

• 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

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

Benefits

• Competitive compensation package
• Strong benefits plan
• Stock options
• Professional development and training
• Attend conferences and working groups
• Company outings, happy hours, hackathons, and tech talks

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree