Cloud Solution Architect – Educational Content Author, Get A Job.ai Academy

About This Opportunity

We are representing a confidential AI cloud infrastructure company seeking a Cloud Solution Architect with a focus on educational content creation. This role offers a unique opportunity to combine technical architecture work with developer education, supporting academic institutions and developers in adopting advanced GPU cloud technologies.

You'll work with a talented team of AI engineers and solution architects to create compelling technical content, develop reference architectures, and serve as a technical advisor to university partners across Europe and North America.

Responsibilities

• Create technical tutorials and documentation demonstrating effective use of cloud computing workloads including VMs, GPU clusters, Kubernetes, and SLURM
• Develop sample code, reference architectures, and best practice guides for cloud infrastructure and ML workloads
• Produce video tutorials and live coding sessions showcasing cloud infrastructure capabilities
• Collaborate with academic partners including universities to understand their requirements and design appropriate solution architectures
• Design and document Infrastructure as Code solutions and technical guides in collaboration with the solutions architecture team
• Serve as a technical advisor on GPU cloud technologies and infrastructure best practices

What We're Looking For

Required Skills and Experience:

• 2+ years of experience in software development, cloud engineering, DevOps, or similar technical role
• Strong understanding of cloud infrastructure and distributed computing principles
• Experience with virtual machines, containerization, and compute resource management
• Hands-on experience building Infrastructure as Code solutions, preferably with Terraform
• Knowledge of GPU clusters and ML workload optimization techniques
• Working knowledge of Kubernetes and job schedulers like SLURM
• Familiarity with networking, storage optimization, and resource management
• Strong programming skills in Python and familiarity with the PyTorch ecosystem
• Excellent written communication skills with ability to clearly express technical concepts
• Demonstrated experience with cloud technologies and infrastructure deployment patterns

Bonus Qualifications:

• Experience with MLflow, Apache Airflow, or Kubeflow
• Familiarity with cloud ML platforms such as AWS, GCP, Azure ML, or NVIDIA NGC
• Experience managing hybrid cloud or on-premises GPU infrastructure
• Background working with technology partners and third-party integrations
• Public presentation and speaking skills

How We Work With You

Candidates apply directly through Get A Job.ai, where our talent team will review your application. Qualified candidates will be screened by one of our recruiters who will discuss your background and the opportunity in detail. We then submit selected candidates to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through Get A Job.ai to ensure a smooth process.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and equal employment opportunities for all candidates regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.