Mid-Level Cloud Engineer

Quick Facts

• Mid-Level Cloud Engineer

Description

Develop and deploy scalable cloud-native and serverless applications across AWS and Azure, with a focus on backend development and generative AI integration. Build serverless services using AWS Lambda, manage databases and storage (RDS, DynamoDB, S3), and integrate generative AI via Amazon Bedrock or SageMaker. Ensure secure cloud infrastructure using IAM, API Gateway, and keys/secrets, while following infrastructure-as-code and Agile practices.

Responsibilities

• Develop and deploy serverless applications using AWS Lambda
• Design and manage hybrid cloud architectures across AWS and Azure
• Integrate generative AI models using Amazon Bedrock or SageMaker
• Manage AWS RDS, DynamoDB, and S3 services
• Implement customer communication workflows using Amazon Connect
• Configure CloudFront for content delivery and performance optimization
• Manage cloud security (IAM roles, API Gateway, keys, and secrets)
• Follow infrastructure-as-code practices and Agile development methodologies

Requirements

• Hands-on experience with AWS cloud development; Azure knowledge is a plus
• Strong experience with AWS Lambda, RDS, S3, and DynamoDB
• Knowledge of Amazon Bedrock or SageMaker for generative AI integration
• Experience with Amazon Connect and CloudFront
• Understanding of IAM and Azure AD/Entra ID
• Proficiency in Python, Node.js, SQL, or other backend programming languages
• Knowledge of infrastructure-as-code and Agile methodologies (Scrum/Kanban/SAFe)

Benefits

Not specified in the provided posting.