Skip to main content
Nebius

Cloud Solution Architect - Educational Content Author, Nebius Academy

RemoteEurope
Published
Role
DevOps
Experience
Mid
Company size
Enterprise
Salary not disclosed
Check eligibility

Open to Anywhere in Europe. Set where you work from to check your eligibility.

No BS summary

Middle AI Solution Architect focused on cloud and GPU infrastructure who can create technical educational content and reference architectures. Requires 2+ years in cloud engineering/DevOps or similar, strong Python and IaC (Terraform preferred), and hands-on experience with VMs, GPU clusters, Kubernetes and job schedulers like SLURM. Remote candidates must be located in Europe and be authorized to work in the country they apply in.

Core skills

GPU clustersKubernetesTerraform

Required skills

VMsSLURMSoperatorIaCPythonPyTorchNetworkingStorage optimizationResource management

Optional skills

MLflowApache AirflowKubeflowAWSGCPAzure MLNVIDIA NGChybrid GPU/on-prem infrastructure

What you'll do

  • Create technical content demonstrating how to effectively use computing workloads with VMs, GPU clusters, k8s, SLURM, Soperator, etc.
  • Develop sample code, tutorials, and reference architectures showcasing best practices for cloud computing and ML infrastructure
  • Create video tutorials and live coding sessions demonstrating effective use of Nebius cloud infrastructure
  • Collaborate with academic partners (universities, e.g., Stevens, MIT) to understand their requirements and develop solution architectures that align with their needs
  • Design and document Infrastructure as Code solutions, documentation, and technical how‑to guides in collaboration with the Nebius Solutions Architect Team
  • Act as a trusted advisor to academic partners, providing technical expertise on GPU cloud technologies and best practices

What they require

  • 2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role
  • Strong understanding of cloud infrastructure and distributed computing principles
  • Experience with virtual machines, containerization, and managing compute resources
  • Experience building with IaC solutions, preferably Terraform
  • Knowledge of GPU clusters and techniques for optimizing ML workloads
  • Working knowledge of container orchestration systems like Kubernetes and job schedulers like SLURM
  • Familiarity with infrastructure components including networking, storage optimization, and resource management
  • Experience optimizing performance of diverse workloads in cloud environments
  • Strong programming skills, particularly in Python, and familiarity with the PyTorch ecosystem
  • Excellent written communication skills and ability to clearly express technical ideas in text
  • Demonstrated experience with cloud technologies and infrastructure
  • Previous work with infrastructure-as-code, containerization, and cloud environments
  • Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire
  • Preferred: Background working with technology partners and integrating third-party solutions
  • Preferred: Public presentation skills

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

Dutch company developing a portfolio of AI-related technology assets

🇳🇱 NetherlandsTechnology, Information And InternetMid-sizenebius.group/

Details

Visa sponsorshipNo
Salary not disclosed