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Senior Kubernetes DevOps Engineer - K0rdent AI Apps/Core Services

Posted 5 days ago

RemoteSan Jose, CA, United StatesSE

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 

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.

 

Additional Information

What does Mirantis offer you?

  • 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)!

Job details
Workplace
Remote
Location
San Jose, CA, United States
Experience
SE

The simple and frictionless way to manage AI workload clusters across clouds, on-prem, hybrid and edge

Key team members

Miska Kaipiainen

Miska Kaipiainen

Randy Bias

Randy Bias

Adrian Ionel

Adrian Ionel

Rikard Kjellberg

Rikard Kjellberg

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