Cloud Solution Architect - Educational Content Author, Nebius Academy

Nebius Group; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Nebius is seeking a Middle AI Solution Architect to drive adoption of our high‑performance cloud infrastructure. You’ll join the Nebius Academy team to create educational content and practical guidance for developers and partners, showcasing Nebius cloud infrastructure, VMs, GPUs, and Kubernetes workflows.

You’ll develop tutorials, sample code, and architectures, collaborate with academic partners on IaC and GPU strategies, and share best practices to help customers design scalable AI

Qualifications

• 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.

Responsibilities

• Educational content creation: 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
• Helping Academy's partners build cloud solutions: 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

Skills

Cloud infrastructure

Distributed computing

Virtual machines

Containerization

Terraform

GPU clusters

Kubernetes

SLURM

Networking

Storage optimization

Tools

Terraform

Kubernetes

SLURM

Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R D.

The Role

Nebius is seeking a Middle AI Solution Architect to drive adoption of our high-performance cloud infrastructure by creating educational content. You’ll join our Nebius Academy team with a mission to help developers succeed with Nebius’ cloud offerings. In this role, you’ll focus on communicating technical capabilities and showcasing differences across Nebius products: cloud infrastructure services and Token Factory.This unique role combines some responsibilities of an AI Solution Architect and an Educational Content Author, allowing you to develop skills and grow in different directions as a Solution Architect and/or Developer Advocate while working together with an amazing team of Nebius AI Engineers and Solution Architects.

Your responsibilities will include:

Educational content creation

• 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

Helping Academy's partners build cloud solutions

• 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

We expect you to have:

Technical knowledge and skills

• 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