Senior Cloud Engineer

Valiant Technologies LLC; Raleigh (NC); On-site; USD 91,000 - 124,000; Full time

Job summary

To Be Discussed Later seeks a Senior Cloud Engineer in Raleigh, NC to design and build scalable cloud applications across AWS and Azure. The role emphasizes backend development, AI/ML integration, and deploying cloud-native components including Lambda, databases, and content delivery systems.

Responsibilities include deploying serverless apps, creating hybrid architectures, integrating Bedrock or SageMaker models, and securing cloud resources.

Qualifications

• Experience building cloud-based solutions on AWS and Azure.
• Proficiency with serverless architectures and backend development.
• Experience integrating AI/ML models in production environments.

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 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

AWS

Azure

Serverless

Lambda

RDS

DynamoDB

Amazon Connect

IAM

API Gateway

CloudFront

Gen AI

Tools

Bedrock/SageMaker

Amazon Connect

CloudFormation

S3

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.