Cloud Engineer

InfoStride; Raleigh (NC); On-site; USD 110,000 - 140,000; Full time

Job summary

InfoStride in Raleigh, NC seeks a Mid-Level Cloud Engineer to design and manage cloud-based applications using AWS and Azure. You will develop secure, scalable serverless solutions and AI-enabled services, collaborating with cross-functional teams.

Responsibilities include deploying Lambda functions, managing RDS/S3, integrating Bedrock or SageMaker, ensuring cloud security, and building backend services in Python, Node.js, and SQL. This is an in-person, 12-month engagement in Raleigh.

Qualifications

• Experience with AWS and Azure cloud development (4+ years).
• Hands-on with AWS Lambda, RDS, S3, DynamoDB (4+ years).
• Experience integrating Generative AI using Bedrock or SageMaker (4+ years).

Responsibilities

• Develop and deploy cloud applications using AWS Lambda.
• Work with AWS and Azure cloud services.
• Build and manage serverless applications.
• Integrate Generative AI models using Amazon Bedrock or SageMaker.
• Manage AWS databases such as RDS and DynamoDB.
• Configure Amazon S3 storage and CloudFront.
• Work with Amazon Connect for customer workflows.
• Manage cloud security, IAM roles, access keys, and secrets.
• Develop backend applications using Python, Node.js, and SQL.

Skills

AWS/Azure Cloud Development

AWS Lambda / RDS / S3 / DynamoDB

Bedrock / SageMaker (Generative AI)

Job description

Interview: In-person only

Duration: 12 months

Job Overview

Client is looking for a Mid-Level Cloud Engineer who has strong experience developing and managing cloud-based applications using AWS and Azure.

The candidate will work on building secure, scalable cloud applications, serverless systems, and AI-powered solutions.

Key Responsibilities

• Develop and deploy cloud applications using AWS Lambda.
• Work with AWS and Azure cloud services.
• Build and manage serverless applications.
• Integrate Generative AI models using Amazon Bedrock or SageMaker.
• Manage AWS databases such as RDS and DynamoDB.
• Configure Amazon S3 storage and CloudFront content delivery.
• Work with Amazon Connect for customer communication workflows.
• Manage cloud security, IAM roles, access keys, and secrets.
• Develop backend applications using Python, Node.js, and SQL.

Required Skills and Experience

Skills Experience

• AWS / Azure Cloud Development 4+ years
• AWS Lambda, RDS, S3, DynamoDB 4+ years
• Amazon Bedrock / SageMaker (Generative AI) 4+ years