Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

Mirantis; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation package

Professional development and training

Company outings and hackathons

Job summary

Mirantis is seeking a skilled Kubernetes DevOps Engineer to drive custom integration across their k0rdent-ai platform. You will work closely with engineering teams to design scalable AI infrastructure on Kubernetes.

Your role includes building automation pipelines, providing operational support, and collaborating with development teams to optimize application deployment across hybrid cloud architectures. Strong Kubernetes expertise and experience with complex production software are essential.

Join us to be part of the cutting-edge innovation in AI infrastructure!

Qualifications

• Strong Kubernetes expertise as a user and operator.
• Experience in debugging, diagnosing, and troubleshooting complex production software.
• Knowledge of system architecture, scalability, reliability, and performance.

Responsibilities

• Design, implement, and document Kubernetes hardened integrations.
• Build automation pipelines for infrastructure provisioning.
• Provide operational support by diagnosing system issues.
• Collaborate with development teams for application deployment.
• Work with core cloud-native technologies and AI frameworks.

Skills

Kubernetes expertise

Linux experience

Networking knowledge

Microservice architecture

Debugging and troubleshooting

Education

University/master degree in Mathematics, Electronics, Telecommunications, or Software Engineering

Tools

OpenStack (familiarity with APIs)

Job description

Full-time

Company Description

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/

Job Description

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

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

Benefits

• 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
• 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
• Professional development and training
• Attend conferences and working groups
• Company outings, happy hours, hackathons, and tech talks