Kubernetes Platform Engineer

About the role

OpenNebula Systems, a provider of the open-source cloud and edge computing platform OpenNebula, is hiring a Kubernetes Platform Engineer for its distributed, fully remote international team. You will work on the development, lifecycle management and troubleshooting of Kubernetes-based components and integrations across the OpenNebula platform, with a focus on production-grade clusters, automation and cloud infrastructure.

Key responsibilities

• Develop and maintain features across OneKS, CAPONE and the OpenNebula 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 on Kubernetes, including AI-related platforms and workloads.
• Contribute to improvements in adjacent components such as the Terraform Provider and OpenNebula appliances.
• Automate cluster lifecycle and platform integrations with tools such as Helm, Cluster API, Terraform and Ansible.
• Write maintainable code, tests and technical documentation, and collaborate with engineers across the OpenNebula stack.

Required profile

• Bachelor's or Master's degree in Computer Science, Information Technology or Engineering.
• Hands-on experience administering and troubleshooting Kubernetes clusters in production or similar environments.
• Experience developing software in Go.
• Experience with Kubernetes cluster lifecycle management, ideally including Cluster API and RKE2.
• Experience collaborating on software projects using modern workflows, version control, testing and documentation.
• Intermediate to advanced English (B2 or higher).

Required skills

• Strong hands-on Kubernetes experience, including troubleshooting, networking and storage.
• Strong Go development skills; experience developing controllers or operators is highly valuable.
• Strong Linux and container knowledge, troubleshooting distributed infrastructure.
• Helm and Cluster API; KVM/QEMU virtualization; Terraform, Ansible, Prometheus, CSI and cloud-provider integrations.
• RKE2, Ruby, AI workloads on Kubernetes or the NVIDIA Kubernetes ecosystem are a strong plus.

What we offer

• Competitive compensation with flexible remuneration options (meals, transport, nursery/childcare).
• Customized workstation; private health insurance.
• 6-hour Friday workday and holidays in August.
• PTO covering holidays, personal time, sick time and parental leave.
• Full-time, part-time, employee or contractor positions available.
• Digital disconnecting rights and a healthy work-life balance.