Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

Requirements

• 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
• What does Mirantis offer you?
• Work with an established global 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. 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.
• We are a Leader for Container Management in G2 (#2 after AWS)!

Benefits

Additional Information

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

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