Cloud Architect - Amazon

JUARA IT SOLUTIONS
Raritan, NJ

Job Title: Cloud Architect – Amazon

Location: New Jersey (Raritan)

Experience: 5–10+ years of enterprise architecture experience

Notice Period: Immediate or up to 30 days

About the Role

We are seeking an experienced Cloud Architect with deep expertise in Amazon Web Services (AWS) to design, implement, and optimize enterprise cloud solutions. The ideal candidate will have hands-on experience with Amazon Bedrock and cloud-native technologies, along with a strong understanding of enterprise architecture, automation, and integration frameworks.

Key Responsibilities

  • Lead technical discovery sessions and facilitate requirements gathering with stakeholders.
  • Design and implement scalable, secure, and high-performing cloud architectures using AWS services.
  • Build and manage Infrastructure as Code (IaC) using Terraform for provisioning and deployment.
  • Implement Amazon Bedrock Agent Core , including:
    • Integration with identity providers and agent gateways .
    • Integration of Langflow backend with the Bedrock agent core.
    • Integration of strands within Langflow UI .
  • Ensure robust documentation and knowledge transfer (KT) for implemented solutions.
  • Collaborate with cross-functional teams to align cloud solutions with business and security objectives.
  • Provide architectural guidance, best practices, and support throughout the project lifecycle.

Required Skills & Experience

  • 5–10+ years of experience in enterprise cloud architecture and design.
  • Deep knowledge of AWS services , especially Amazon Bedrock and cloud-native technologies .
  • Proven experience in Terraform and Infrastructure as Code (IaC) methodologies.
  • Strong understanding of integration frameworks , microservices , and serverless architectures .
  • Excellent problem-solving, communication, and documentation skills.

Preferred Qualifications

  • AWS Certified Solutions Architect – Professional certification.
  • Experience with Langflow integration and AI-driven workflow orchestration.
  • Hands-on experience with CI/CD pipelines , DevOps tools , and container orchestration (e.g., Kubernetes, Docker).
Posted 2025-11-06

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