Nebius is currently looking for a mid-level Cloud Solution Architect - Educational Content Author for our Nebius Academy team in Europe. In this IT role, you will help developers succeed with our AI cloud platform by creating technical educational content and collaborating with academic partners like MIT and Stevens.
Cloud Solution Architect Responsibilities
- Create technical content, sample code, tutorials, reference architectures, and video sessions demonstrating the use of VMs, GPU clusters, Kubernetes, SLURM, and Soperator.
- Collaborate with academic partners to design and document Infrastructure as Code solutions, technical guides, and solution architectures.
- Act as a trusted advisor providing technical expertise on GPU cloud technologies and best practices.
Requirements and Qualifications
- Bachelor's degree.
- 2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role.
- Strong understanding of cloud infrastructure, distributed computing, virtual machines, containerization, and Terraform (IaC).
- Knowledge of GPU clusters, ML workload optimization, Kubernetes, and SLURM.
- Strong programming skills in Python and familiarity with the PyTorch ecosystem.
- Excellent written communication skills to express technical ideas clearly.
Bonus qualifications include experience with MLflow, Apache Airflow, Kubeflow, major cloud ML platforms (AWS, GCP, Azure ML, NVIDIA NGC), hybrid or on-prem GPU infrastructure, and public presentation skills. We offer market competitive compensation and career growth. Please refer to the official application link to apply.