AI Solution Architect – Educational Content Author

Nebius Group

AI Solution Architect creating educational content to drive adoption of Nebius cloud infrastructure. Collaborate with partners, create tutorials, and demonstrate GPU technologies.

Posted 7/8/2026full-timeRemote • 🇪🇺 Anywhere in EuropeJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in cloud infrastructure, distributed computing, and infrastructure as code, with strong programming skills in Python and experience in optimizing machine learning workloads. Capable of creating technical content and collaborating with academic partners to develop tailored solutions.

Highest-signal resume keywords

Cloud Infrastructure ExpertiseInfrastructure As Code (IaC) SolutionsGPU Cloud TechnologiesContainer Orchestration (Kubernetes)Programming Skills in Python

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud ComputingDistributed Computing PrinciplesVirtual MachinesContainerizationTerraformGPU ClustersMachine Learning WorkloadsSLURMPythonPyTorch

Soft Skills

Excellent Written CommunicationTechnical Advisory

Tools & Technologies

Nebius Cloud InfrastructureKubernetesSLURMTerraform

Industry Keywords

Infrastructure As CodeCloud EngineeringDevOpsCompute Resource ManagementNetworkingStorage Optimization

Tech Stack

Tools & technologies

CloudKubernetesPythonPyTorchTerraform

About the role

Key responsibilities & impact

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 our academic partners, providing technical expertise on GPU cloud technologies and best practices

Requirements

What you’ll need

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
Understanding of cloud infrastructure concepts and deployment patterns
Excellent written communication skills and ability to clearly express technical ideas in text
2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role
Demonstrated experience with cloud technologies and infrastructure
Previous work with infrastructure-as-code, containerization, and cloud environments

Benefits

Comp & perks

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