Senior Cloud Engineer

Quantum Technologies. LLC; Raleigh (NC); On-site; USD 91,000 - 123,000; Full time

Job summary

NC DHHS is seeking a Senior Cloud Application Developer to build robust, scalable cloud applications and serverless systems across AWS and Azure in Raleigh, NC. The role emphasizes backend development, AI/ML integration, and deploying cloud-native components including Lambda functions, cloud databases, and content delivery systems.

The position focuses on hybrid cloud architectures, AI model integration with Bedrock or SageMaker, and secure management of cloud resources while ensuring scalable,

Qualifications

• Experience building robust, scalable cloud applications.
• Backend development and serverless systems across AWS and Azure.
• Experience with AI/ML integration and cloud-native components.
• Experience deploying Lambda, managing cloud databases, and content delivery.

Responsibilities

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

Skills

Cloud engineering

AWS

Azure

Serverless architecture

AI/ML integration

Tools

AWS Lambda

Amazon S3

CloudFront

RDS

DynamoDB

IAM

Amazon Connect

Bedrock/SageMaker

Azure services

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Senior Cloud Engineer
Location: Raleigh, NC
Duration: 12 Months + Extension
Bill Rate: 78/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

• NC DHHS requires the services of a Senior Cloud Application Developer that will help us build robust, scalable cloud applications and serverless systems across AWS and Azure. This role focuses on backend development, AI/ML integration, and deploying cloud-native components including Lambda functions, cloud databases, smart communication workflows, and content delivery systems. The key responsibilities for this position will include the following:
• 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 AmazonS3 buckets and optimize global content delivery using CloudFront.
• Manage cloud security, IAM roles, keys, secrets, and API gateways.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.