Overview:
• 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
Skills:
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
