Senior Cloud Engineer

Machine Learning Technologies, LLC; Raleigh (NC); On-site; USD 89,000 - 126,000; Full time

Job summary

Machine Learning Technologies, LLC in Raleigh, NC seeks a Senior Cloud Engineer for a 12-month+ extension engagement. You will help build robust, scalable cloud applications and serverless systems across AWS and Azure, with a focus on backend development and AI/ML integration.

The role requires implementing hybrid cloud architectures, deploying AWS Lambda-based services, and managing cloud resources such as RDS/DynamoDB, S3/CloudFront, and IAM security.

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, IAM roles, keys, secrets, and API gateways.

Tools

AWS

Azure

Serverless

Lambda

Amazon S3

CloudFront

RDS

DynamoDB

IAM

SageMaker

Bedrock

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.