📋 Description

• Create high-quality educational content demonstrating how to effectively use cloud computing
• Develop practical sample code, tutorials, technical guides, and reference architectures that
• Produce video tutorials and participate in live coding sessions to make complex technical concepts
• Work with academic partners, including universities, to understand their technical requirements and
• Collaborate with solution architecture and engineering teams to design and document Infrastructure
• Act as a trusted technical advisor to academic partners, providing guidance on GPU cloud

🎯 Requirements

• 2+ years of professional experience in software development, cloud engineering, DevOps, solution
• Strong understanding of cloud infrastructure and distributed computing principles.
• Hands-on experience with virtual machines, containerization, and managing compute resources in
• Practical experience building Infrastructure as Code solutions, preferably using Terraform.
• Knowledge of GPU clusters and techniques for optimizing machine learning workloads.
• Working knowledge of Kubernetes and job schedulers such as SLURM.

🎁 Benefits

• Competitive compensation.
• Remote working flexibility and significant ownership over your work.
• Career growth and continuous learning opportunities.
• Opportunity to develop expertise across cloud architecture, AI infrastructure, technical education
• Exposure to impactful AI and cloud infrastructure projects.
• Collaboration with highly skilled engineers, solution architects, and technical professionals.