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AWS Developer

Innosoul incRaleigh, NC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationRaleigh, NC, United States
SAFeDynamoDBSQLAWSScrumKanbanPythonGenerative AIAzureNode.jsAgileIAM

Job description

Job ID: NC-91112)

Hybrid/Local AWS Developer (15+) with AI/ML/Bedrock/SageMaker (must), Azure, Lambda/RDS/DynamoDB/IaC, Connect, CloudFront, IAM/AD/Entra ID, Python, Node.js, SQL, Agile/Scrum/Kanban/SAFe experience

Location: Raleigh, NC (NCDHHS-NCFAST)
Duration: 11 Months

Skills:
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

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.

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