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 to design and build scalable cloud applications and serverless systems on AWS and Azure. You will focus on backend development, AI/ML integration, and deploying cloud-native components including Lambda, databases, and content delivery.

The role emphasizes building robust cloud solutions, integrating generative AI foundations, and maintaining security and reliable workflows in a fast-paced environment.

Qualifications

• Experience building serverless cloud applications on AWS
• Experience designing hybrid cloud architectures with AWS and Azure
• Experience integrating AI/ML capabilities in cloud apps
• Experience managing cloud databases and storage services
• Experience implementing secure IAM, keys and secrets in cloud environments

Responsibilities

• Build and deploy serverless apps using AWS Lambda and related services.
• Design hybrid cloud architectures integrating AWS and Azure.
• Integrate generative AI models using Bedrock or SageMaker.
• Manage cloud databases such as DynamoDB and RDS.
• Configure S3 buckets and optimize content delivery via CloudFront.
• Manage cloud security, IAM roles and secrets, and API gateways.

Skills

AWS

Azure

Serverless

Lambda

SageMaker

Bedrock

DynamoDB

RDS

CloudFront

IAM

Security

Tools

Amazon Connect

S3

CloudFront

Job description

Senior Cloud Engineer

Location: Raleigh, NC

Duration: 8 Months + Extension

Duration: 12 Months + Extension

Bill Rate: 78/hour

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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

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.

Equal Opportunity Employer

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.