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Aws Serverless Ai Engineer

  • Aws Serverless Ai Engineer job type Posted on: Nov 05, 2026
  • Aws Serverless Ai Engineer experience level Stellar Professionals
  • Aws Serverless Ai Engineer employment type Raleigh, North Carolina
  • Aws Serverless Ai Engineer salary Salary: $95 per hour
  • Aws Serverless Ai Engineer employment type Onsite
  • Aws Serverless Ai Engineer salary CTC
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Job Title :

Aws Serverless Ai Engineer

Job Type :

Contract

Job Location :

Raleigh North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Location: Raleigh, NC
Work Arrangement: Hybrid
Interview Process: In-Person Only
Key Responsibilities & Focus Areas
We are looking for a Cloud Engineer to build scalable cloud applications, serverless systems, and backend services across AWS and Azure. In this role, you will focus on backend development, AI/ML model integration, cloud-native deployments, and managing automated workflows.
Required Skills
  • Cloud Platforms: AWS (Required), Azure (Beneficial)
  • Serverless & Services: AWS Lambda, RDS, DynamoDB, S3, CloudFront, Amazon Connect
  • AI/ML Integration: Amazon Bedrock, Amazon SageMaker
  • Backend Development: Python, Node.js, SQL
  • Cloud Security & Identity: IAM, Azure AD / Entra ID, API Gateways, Keys & Secrets
  • Methodology & Practices: Agile (Scrum, Kanban, or SAFe), Infrastructure-as-Code
Role Requirements
  • Ability to follow complex technical procedures and organize project tasks efficiently.
  • Open to attending an in-person interview and working on-site as required by the hybrid schedule.

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Jobcon Logo Position Details

Posted:

Nov 05, 2026

Reference Number:

12459-13875

Employment:

CTC

Salary:

$95 per hour

City:

Raleigh

Job Origin:

CIEPAL_ORGANIC_FEED

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Location: Raleigh, NC
Work Arrangement: Hybrid
Interview Process: In-Person Only
Key Responsibilities & Focus Areas
We are looking for a Cloud Engineer to build scalable cloud applications, serverless systems, and backend services across AWS and Azure. In this role, you will focus on backend development, AI/ML model integration, cloud-native deployments, and managing automated workflows.
Required Skills
  • Cloud Platforms: AWS (Required), Azure (Beneficial)
  • Serverless & Services: AWS Lambda, RDS, DynamoDB, S3, CloudFront, Amazon Connect
  • AI/ML Integration: Amazon Bedrock, Amazon SageMaker
  • Backend Development: Python, Node.js, SQL
  • Cloud Security & Identity: IAM, Azure AD / Entra ID, API Gateways, Keys & Secrets
  • Methodology & Practices: Agile (Scrum, Kanban, or SAFe), Infrastructure-as-Code
Role Requirements
  • Ability to follow complex technical procedures and organize project tasks efficiently.
  • Open to attending an in-person interview and working on-site as required by the hybrid schedule.

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