Educational Content Author – Cloud Solution Architect

This is a fully remote position, open to applicants in Europe.

📋 Description

• Develop educational technical content that showcases the effective utilization of VMs, GPU clusters, Kubernetes, SLURM, and Soperator.

• Create sample code, tutorials, and reference architectures focusing on cloud computing and machine learning infrastructure.

• Produce video tutorials and conduct live coding sessions for the Nebius cloud infrastructure.

• Collaborate with academic institutions, including Stevens and MIT, to gather and understand their requirements.

• Design solution architectures that align with the needs of academic partners.

• Create and document Infrastructure as Code solutions, including documentation and technical how-to guides alongside the Nebius Solutions Architect Team.

• Provide guidance to academic partners regarding GPU cloud technologies and best practices.

• Clearly communicate the technical capabilities and product distinctions across Nebius cloud infrastructure services and the Token Factory.

• Assist developers in achieving success with Nebius cloud offerings.

• Progress towards responsibilities associated with Solution Architect and/or Developer Advocate roles.

⛳️ Requirements

• Strong comprehension of cloud infrastructure and principles of distributed computing.

• Experience with virtual machines, containerization, and the management of compute resources.

• Proficiency in building Infrastructure as Code solutions, preferably using Terraform.

• Understanding of GPU clusters and methods to optimize machine learning workloads.

• Familiarity with Kubernetes and SLURM.

• Knowledge of networking, storage optimization, and resource management.

• Experience enhancing the performance of varied workloads in cloud environments.

• Strong programming abilities, particularly in Python.

• Familiarity with the PyTorch ecosystem.

• Understanding of cloud infrastructure concepts and deployment methodologies.

• Excellent written communication skills with the ability to articulate technical ideas clearly in writing.

• A minimum of 2 years of experience in software development, cloud engineering, DevOps, or a similar technical position.

• Proven experience with cloud technologies and infrastructure.

• Previous involvement with infrastructure-as-code, containerization, and cloud environments.

• Applicants must be authorized to work in the country where they apply and be able to provide proof of employment eligibility.

• Additional bonus: Experience with MLflow, Apache Airflow, or Kubeflow.

• Additional bonus: Familiarity with AWS, GCP, Azure ML, or NVIDIA NGC.

• Additional bonus: Experience managing hybrid cloud or on-premises GPU infrastructure.

• Additional bonus: Experience collaborating with technology partners and integrating third-party solutions.

• Additional bonus: Skills in public presentation.

🏝️ Benefits

• Competitive compensation.

• Opportunities for career growth and learning.

• Flexibility and a sense of ownership.

• A collaborative and innovative culture.

• Chance to work on impactful AI projects.

• An international environment with talented teams.

• Fast-paced work setting.

• Encouragement of bold thinking.

• Constant growth opportunities.

• Meaningful contributions to projects.

• Trust and genuine ownership.

• An opportunity to influence the future of AI.

• Equal opportunity employer.

• An inclusive and diverse workplace.

• Application accommodations are available.