CloudLearn (cloudlearn.io) teaches Azure, AWS and AI through hands-on labs in real cloud environments. We're looking for a Cloud Content Engineer to build and maintain our lab catalogue and help shape our courses.
What you'll do
- Build new hands-on labs in Azure and AWS using ARM templates and CloudFormation
- Set up guardrails for lab environments with Azure Policy and AWS Service Control Policies (SCPs)
- Write clear, step-by-step lab instructions and learning content
- Review and finish labs drafted by our AI authoring pipeline, and test them end to end
- Move labs from QA to production and keep the catalog clean and accurate
- Investigate failing labs and ship fixes
- Help build courses, curriculum and certification paths (AZ-104, AZ-305, AWS SAA and more)
- Spot new content opportunities: certification updates, new Azure and AWS services, and what learners ask for
What you need to have
- AZ-104 certification
- Hands-on experience with both Azure and AWS beyond the basics: networking, identity and IAM, compute and storage
- Strong experience with Azure ARM templates and AWS CloudFormation
- Working knowledge of Azure Policy and AWS Service Control Policies (SCPs)
- Python scripting
- Docker and containerization
- Git and Git-based workflows (branches, pull requests, webhooks)
- Clear, simple technical writing
Nice to have
- A technical blog, tutorials, courses or other published content
- Bash or PowerShell scripting
- Bicep or Terraform
- AWS Solutions Architect Associate, AZ-305 or AZ-500
- Kubernetes experience
