Cloud Engineer
Description
·Build and deployserverless applications using AWS Lambda.
·Design hybridcloud architectures integrating AWS and Azure services.
·Integrategenerative AI foundation models using Amazon Bedrock or SageMaker.
·Manage clouddatabases such as Amazon RDS and DynamoDB.
·Implement smartcustomer communication workflows via Amazon Connect.
·Configure AmazonS3 buckets and optimize global content delivery using CloudFront.
·Manage cloudsecurity, IAM roles, keys, secrets, and API gateways.
|
Skill |
Required / Desired |
Amount |
of Experience |
| Hands-on cloud development experience (AWS preferred; Azure beneficial). | Required | 4 | Years |
| Proven track record/experience with AWS Lambda, RDS, S3, DynamoDB, and infrastructure-as-code patterns. | Required | 4 | Years |
| Experience implementing generative AI models via Bedrock or SageMaker. | Required | 4 | Years |
| Experience using Amazon Connect and CloudFront configurations. | Required | 3 | Years |
| Strong understanding of cloud identity management (IAM, Azure AD/Entra ID) | Required | 3 | Years |
| Proficiency in Python, Node.js, SQL, or scalable backend languages | Required | 6 | Years |
| Ability to organize, prioritize, and follow complex and/or detailed technical procedures | Required | 7 | Years |
| Experience with Agile (Scrum, Kanban, or Safe) development | Required | 3 | Years |