Aimed at mid-level cloud engineers with Python and infrastructure-as-code experience who enjoy creating educational content for developers.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Nebius
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
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
Practical experience
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
It will be an added bonus if you have
Experience with MLflow, Apache Airflow, or Kubeflow
Familiarity with cloud ML platforms like AWS, GCP, Azure ML, or NVIDIA NGC
Experience managing hybrid cloud or on-prem GPU infrastructure
Background working with technology partners and integrating third-party solutions
Public presentation skills
Benefits & 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
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
If you need accommodations during the application process, please let us know.
Source: Nebius careers