Kubernetes Platform Engineer

Posted 9 hours ago

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design and sustain features within OneKS, CAPONE, and the OpenNebula CSI integration.

• Diagnose and resolve issues pertaining to Kubernetes and RKE2 clusters, covering aspects such as networking, storage, upgrades, and multi-layer infrastructure challenges.

• Create and uphold Kubernetes controllers, operators, and Cluster API integrations utilizing Go.

• Assess and incorporate new solutions operating on Kubernetes, including platforms and workloads related to AI.

• Contribute to enhancements and address issues within the Terraform Provider and OpenNebula appliances.

• Automate and refine cluster lifecycle management and platform integrations through Helm, Cluster API, Terraform, and Ansible.

• Produce maintainable code, comprehensive tests, and technical documentation.

• Work closely with engineers throughout the OpenNebula ecosystem.


⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or Engineering.

• Practical professional experience in administering and troubleshooting Kubernetes clusters in production or similarly complex settings.

• Proven experience in software development using Go.

• Familiarity with Kubernetes cluster lifecycle management, ideally including Cluster API and RKE2.

• Experience collaborating on software projects utilizing modern development workflows, version control, testing, and technical documentation.

• Strong practical experience with Kubernetes, including troubleshooting, networking, and storage.

• Proficient in Go development; experience in creating Kubernetes controllers or operators is highly advantageous.

• Solid understanding of Linux and container technologies.

• Experience with Helm and Cluster API.

• Knowledge of virtualization technologies such as KVM/QEMU.

• Familiarity with Terraform, Ansible, Prometheus, CSI, and integrations with Kubernetes cloud providers.

• Experience with RKE2, Ruby, AI workloads on Kubernetes, or the NVIDIA Kubernetes ecosystem is an added benefit.

• Intermediate to Advanced English proficiency (B2 or higher) is mandatory.

• A platform engineering mindset.

• Strong self-management and accountability skills.

• Excellent communication abilities.

• A collaborative and pragmatic approach.

• An engineering mindset focused on delivering reliable, maintainable, production-ready solutions.

• Curiosity and adaptability in areas such as Kubernetes, virtualization, networking, storage, and observability.


🏝️ Benefits

• Competitive compensation package.

• Flexible remuneration options: meals, transport, nursery/childcare.

• Customized workstation (macOS, Windows, Linux – any distribution is welcome).

• Private health insurance.

• Six-hour workday on Fridays and throughout August.

• Paid time off: holidays, personal time, sick leave, parental leave.

• Fully remote company.

• Healthy work-life balance.

• Digital disconnection policy.

• Flexible hiring options: full-time/part-time, employee (Spain/USA) / contractor (other locations).

• Opportunities for learning and researching new technologies and methods as part of daily responsibilities.

• Engineering-first culture.

• Exposure to a broad technology ecosystem.

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