Market interpretation
What AWS demand means in practice
ApplyDjinn tracks where AWS is core, required, supporting, or optional. That distinction helps separate cloud-platform ownership from a role that merely deploys an application to AWS. Related technologies reveal whether the work is container, serverless, data, security, or networking heavy.
Strong candidate evidence maps services to architecture: why a managed database, queue, Lambda function, EKS cluster, IAM boundary, or observability stack was chosen. Include the scale, recovery, security, and cost constraints that shaped the design.
Cloud platformBackend systemsData infrastructureCloud security
Cloud
AI
Machine Learning
GCP
Azure
Scalability