Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

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

• 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

• Work with exceptionally passionate, talented, and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
• Be a part of cutting-edge, open-source innovation. Have a real impact on the world.
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
• Competitive compensation package with strong benefits plan and stock options., * Work with an established Silicon Valley leader in the cloud infrastructure industry;
• Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
• Be a part of cutting-edge, open-source innovation;
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
• Professional development and training;
• Attend conferences and working groups;
• Company outings, happy hours, hackathons, and tech talks;
• Receive a competitive compensation package with a strong benefits plan.

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com