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Cloud Solution Architect - Educational Content Author, Nebius Academy
ICT
💰 Salary Not shared
📊 Market 6,000 EUR–9,000 EUR/mo (72,000 EUR–108,000 EUR/yr)
About the Company
Nebius is leading a new era in cloud infrastructure for the global AI economy. It builds a full stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, eliminating the cost and complexity of large in house AI/ML infrastructure. Built by engineers for engineers, Nebius handles large scale GPU orchestration, inference optimization, compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, the company has a global footprint with R&D hubs across Europe, the UK, North America and Israel, and a team of over 1,500 employees, including hundreds of engineers with deep expertise in hardware, software and AI R&D.
About the Role
Nebius is seeking a Middle AI Solution Architect to drive adoption of its high performance cloud infrastructure by creating educational content. The role joins the Nebius Academy team with a mission to help developers succeed with Nebius cloud offerings, focusing on communicating technical capabilities and showcasing differences across Nebius products, including cloud infrastructure services and Token Factory. It combines responsibilities of an AI Solution Architect and an Educational Content Author, offering growth opportunities as a Solution Architect or Developer Advocate while collaborating with Nebius AI Engineers and Solution Architects.
Responsibilities
- ● Create technical content demonstrating how to effectively use computing workloads with VMs, GPU clusters, Kubernetes, SLURM, Soperator, and related technologies.
- ● Develop sample code, tutorials, and reference architectures that showcase best practices for cloud computing and machine learning infrastructure.
- ● Produce video tutorials and live coding sessions illustrating effective use of Nebius cloud infrastructure.
- ● Collaborate with academic partners such as universities (e.g., Stevens, MIT) to understand their requirements and develop solution architectures that align with their needs, including designing and documenting Infrastructure as Code solutions, documentation, and technical how to guides in partnership with the Nebius Solutions Architect Team.
- ● Act as a trusted advisor to academic partners, providing technical expertise on GPU cloud technologies and best practices.
Requirements
- ● Strong understanding of cloud infrastructure and distributed computing principles.
- ● Experience with virtual machines, containerization, and managing compute resources.
- ● Experience building with Infrastructure as Code solutions, preferably Terraform.
- ● Knowledge of GPU clusters and techniques for optimizing machine learning workloads.
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