Cloud Engineer

American business solutions inc; Raleigh (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

American business solutions inc. seeks an experienced cloud engineer in Raleigh, NC to design and deploy serverless solutions on AWS, while building hybrid cloud architectures that integrate AWS and Azure. You will implement generative AI models via Bedrock or SageMaker and manage databases like RDS and DynamoDB.

You will also configure IAM security, Connect-based customer workflows, CloudFront, and S3 optimizations. Collaboration with teams and adherence to Agile practices are expected.

Qualifications

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

Responsibilities

• Build and deploy serverless applications using AWS Lambda.
• Design hybrid cloud architectures integrating AWS and Azure services.
• Integrate generative AI foundation models using 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, IAM roles, keys, secrets, and API gateways.

Skills

AWS Lambda

RDS

S3

DynamoDB

Bedrock

SageMaker

Amazon Connect

CloudFront

IAM

Azure AD/Entra ID

Python

Node.js

SQL

Infrastructure as Code

Agile

Job description

• Build and deployserverless applications using AWS Lambda.
• Design hybridcloud architectures integrating AWS and Azure services.
• Integrate generative 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