Senior Cloud Engineer

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

Job summary

Robotics Technologies LLC in Raleigh, NC seeks a Senior Cloud Engineer to design and deploy scalable cloud applications using AWS and Azure. You will focus on backend development, AI/ML integration, and serverless components, including Lambda, CloudFront, and cloud databases.

The role emphasizes secure cloud architecture, IAM, and cross-service integration, with contract-like engagement (W-2/1099/C2C) and a 12-month+ extension outlook.

Qualifications

• Experience building scalable cloud apps on AWS/Azure.
• Proficiency with serverless architectures and cloud-native components.
• Knowledge of cloud databases (RDS, DynamoDB) and security IAM.

Responsibilities

• Build and deploy serverless apps using AWS Lambda.
• Design hybrid cloud architectures with AWS and Azure.
• Integrate AI/ML models (Bedrock/SageMaker).
• Manage cloud databases (RDS, DynamoDB) and security.

Skills

AWS

Azure

Serverless

Cloud architecture

IAM security

DynamoDB

Lambda

RDS

CloudFront

S3

Bedrock/SageMaker

Tools

AWS Lambda

Amazon SageMaker

Amazon Bedrock

Amazon Connect

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.