Mid-Level Cloud Engineer

Quick Facts

• Role: Mid-Level Cloud Engineer
• Focus: Serverless, hybrid cloud (AWS + Azure), generative AI integration, cloud databases, security, and customer communication workflows

Description

Build and deploy serverless applications on AWS and design hybrid cloud architectures integrating AWS and Azure. Integrate generative AI foundation models using Amazon Bedrock or SageMaker, manage cloud databases, and implement communication workflows with Amazon Connect. Optimize content delivery with S3 and CloudFront while implementing secure cloud access with IAM 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 via Amazon Bedrock or SageMaker
• Manage cloud databases using Amazon RDS and DynamoDB
• Implement customer communication workflows using Amazon Connect
• Configure Amazon S3 and optimize global content delivery with CloudFront
• Manage cloud security (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 using 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 technical procedures
• 3+ years experience with Agile (Scrum, Kanban, or SAFe)

Benefits

• Multi-year opportunity focused on cloud services delivered to government accounts in the San Francisco Bay Area