AWS Cloud Engineer — Serverless & AI/ML Specialist (Raleigh)

Intellibee Inc

Raleigh (NC)

Presencial

USD 110.000 - 150.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Health Coverage
401(k) Plan
Long-Term Opportunities
Green Card Support

Descripción de la vacante

IntelliBee is seeking a mid-level AWS Cloud Engineer in Raleigh, NC to design and deploy robust, scalable cloud applications and serverless systems across AWS and Azure. The role emphasizes backend development, AI/ML integration, and deploying cloud-native components including Lambda functions, cloud databases, and content delivery workflows.

You will work with IAM, Bedrock or SageMaker, S3, DynamoDB, RDS, Connect and CloudFront, applying IaC and Agile practices.

Formación

  • 4+ years cloud development experience, AWS preferred
  • Hands-on with AWS Lambda, RDS, S3, DynamoDB, IaC patterns
  • Experience deploying AI models via Bedrock or SageMaker
  • Experience with Amazon Connect and CloudFront configurations
  • Strong IAM and authentication knowledge
  • Proficiency in Python or Node.js
  • Experience with Agile methodologies

Responsabilidades

  • 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 Amazon RDS and DynamoDB.
  • Implement smart customer workflows via Amazon Connect.
  • Configure Amazon S3 buckets and optimize global content delivery with CloudFront.
  • Manage cloud security, IAM roles, keys, secrets, and API gateways.

Conocimientos

AWS
Azure
Serverless
Python
Node.js
SQL
DynamoDB
RDS
S3
CloudFront
Bedrock
SageMaker
IAM
Connect
Agile

Descripción del empleo

IntelliBee is seeking a mid-level AWS Cloud Engineer in Raleigh, NC to design and deploy robust, scalable cloud applications and serverless systems across AWS and Azure. The role emphasizes backend development, AI/ML integration, and deploying cloud-native components including Lambda functions, cloud databases, and content delivery workflows.

You will work with IAM, Bedrock or SageMaker, S3, DynamoDB, RDS, Connect and CloudFront, applying IaC and Agile practices.

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