AWS Cloud Engineer

Raleigh, NC, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • API
  • Agile
  • Amazon CloudFront
  • Amazon DynamoDB
  • Amazon Lambda
  • Amazon RDS
  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Cloud Security
  • Communication
  • Database
  • Generative Artificial Intelligence (AI)
  • Identity Management
  • Kanban
  • Machine Learning (ML)
  • Management
  • Microsoft Azure
  • Node.js
  • Python
  • Remote Desktop Services
  • SAFE
  • SQL
  • SaaS
  • Scrum
  • Workflow

Summary

Position 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 including backend dev, AI/ML integration, and deploying cloud-native components.

 

NC DHHS requires the services of a Senior CloudApplication Developer that will help us build robust, scalable cloudapplications and serverless systems across AWS and Azure. This role focuses onbackend development, AI/ML integration, and deploying cloud-native componentsincluding Lambda functions, cloud databases, smart communication workflows, andcontent delivery systems. The key responsibilities for this position willinclude the following:

·Build and deployserverless applications using AWS Lambda.

·Design hybridcloud architectures integrating AWS and Azure services.

·Integrategenerative AI foundation models using Amazon Bedrock or SageMaker.

·Manage clouddatabases such as Amazon RDS and DynamoDB.

·Implement smartcustomer communication workflows via Amazon Connect.

·Configure AmazonS3 buckets and optimize global content delivery using CloudFront.

·Manage cloudsecurity, IAM roles, keys, secrets, and API gateways.




Skills Table:

Skill
Required / Desired
Amount
of Experience

 

Hands-on cloud development experience (AWS preferred; Azure beneficial).
Required
4
Years
Proven track record/experience with AWS Lambda, RDS, S3, DynamoDB, and infrastructure-as-code patterns.
Required
4
Years
Experience implementing generative AI models via Bedrock or SageMaker.
Required
4
Years
Experience using Amazon Connect and CloudFront configurations.
Required
3
Years
Strong understanding of cloud identity management (IAM, Azure AD/Entra ID)
Required
3
Years
Proficiency in Python, Node.js, SQL, or scalable backend languages
Required
6
Years
Ability to organize, prioritize, and follow complex and/or detailed technical procedures
Required
7
Years
Experience with Agile (Scrum, Kanban, or Safe) development
Required
3
Years

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91103975A
  • Position Id: 9140368
  • Posted 2 hours ago
Contact the job poster
SK

Santhosh Kumar

Recruiter @ Atash Enterprises, LLC

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