Mid-Level Cloud Engineer

Quick Facts

• Build serverless and hybrid cloud solutions on AWS and Azure
• Integrate generative AI using Amazon Bedrock or SageMaker
• Manage cloud databases, security, and customer communication workflows

Description

Build and deploy serverless applications and hybrid cloud architectures integrating AWS and Azure services. Integrate generative AI foundation models via Amazon Bedrock or SageMaker, manage AWS databases, and implement customer communication workflows using Amazon Connect. Configure S3/CloudFront for content delivery and manage cloud security including IAM, secrets, and API Gateway.

Responsibilities

• Build and deploy serverless applications using AWS Lambda
• Design hybrid cloud architectures integrating AWS and Azure services
• Integrate generative AI foundation models using Amazon Bedrock or SageMaker
• Manage cloud databases such as Amazon RDS and DynamoDB
• Implement smart customer communication workflows via Amazon Connect
• Configure Amazon S3 buckets and optimize global content delivery using CloudFront
• Manage cloud security including IAM roles, keys, secrets, and API gateways

Requirements

• 4+ years hands-on cloud development experience (AWS preferred; Azure beneficial)
• 4+ years experience with AWS Lambda, RDS, S3, DynamoDB, and infrastructure-as-code patterns
• 4+ years experience implementing generative AI models via Bedrock or SageMaker
• 3+ years experience with Amazon Connect and CloudFront configurations
• 3+ years strong understanding of cloud identity management (IAM, Azure AD/Entra ID)
• 6+ years proficiency in Python, Node.js, SQL, or other scalable backend languages
• 7+ years ability to organize, prioritize, and follow complex and/or detailed technical procedures
• 3+ years experience using Agile (Scrum, Kanban, or SAFe)

Benefits

• Multi-year opportunity supporting complex government cloud needs in the San Francisco Bay Area