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O Kubernetes Platform Engineer OpenNebula Systems Remote

Remote / Online - Candidates ideally in
Oregon, USA
Listing for: Artha
Full Time, Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Job Description

For over a decade now, Open Nebula Systems has been building the open source technology that helps organizations around the world to manage their corporate data centers and build Enterprise Clouds with unique, innovative features. Born back in the day as an open source platform for Private Clouds, Open Nebula is a powerful, but easy-to-use, open source Cloud & Edge Computing Platform whose community includes nowadays leading companies and public agencies in a wide range of industry niches and countries.

If you want to join an established leader in the cloud infrastructure industry and the global open source community, keep reading, because you can now join exceptionally passionate, talented colleagues, and help world´s leading enterprises implement their next-generation edge and cloud strategies. We are hiring! Come join us in our distributed, fully-remote, international team, where we promote Creativity, Innovation, Collaboration, Open Communication and Iterative Work, and we´re seeking a Kubernetes Platform Engineer to work in the development of the Open Nebula open-source cloud management platform and its Kubernetes and cloud integration ecosystem.

Since 2019, and thanks to the support from the European Commission, Open Nebula Systems is leading the edge computing innovation in Europe, investing heavily in research and development, and playing a key role in the key strategic initiatives of the European Union. https://opennebula.io/innovation/

Responsibilities
  • Develop and maintain features across OneKS, CAPONE, and the Open Nebula CSI integration.
  • Troubleshoot Kubernetes and RKE2 clusters, including networking, storage, upgrades, and multi-layer infrastructure issues.
  • Develop and maintain Kubernetes controllers, operators, and Cluster API integrations using Go.
  • Evaluate and integrate new solutions running on Kubernetes, including AI-related platforms and workloads.
  • Contribute to improvements and issues in adjacent components such as the Terraform Provider and Open Nebula appliances.
  • Automate and improve cluster lifecycle and platform integrations using tools such as Helm, Cluster API, Terraform, and Ansible.
  • Write maintainable code, tests, and technical documentation, and collaborate closely with engineers across the Open Nebula stack.
Experience Required Academic Background and Certifications
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or Engineering.
Professional Experience
  • Hands-on professional experience administering and troubleshooting Kubernetes clusters in production or similarly complex environments.
  • Professional experience developing software in Go.
  • Experience working with Kubernetes cluster lifecycle management, ideally including Cluster API and RKE
    2.
  • Experience collaborating on software projects using modern development workflows, version control, testing, and technical documentation.
Technical Experience
  • Strong hands-on Kubernetes experience, including troubleshooting, networking, and storage.
  • Strong Go development skills; experience developing Kubernetes controllers or operators is highly valuable.
  • Strong Linux and container knowledge, with confidence troubleshooting distributed infrastructure.
  • Experience with Helm and Cluster API; familiarity with virtualization technologies such as KVM/QEMU.
  • Familiarity with Terraform, Ansible, observability tooling such as Prometheus, CSI, and Kubernetes cloud-provider integrations.
  • Experience with RKE2, Ruby, AI workloads on Kubernetes, or the NVIDIA Kubernetes ecosystem is a strong plus.
Language Skills

Intermediate to Advanced English level (B2 or higher) is required.

Soft Skills & Collaboration
  • Platform engineering mindset, with the flexibility to work across software development, Kubernetes operations,…
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