AWS Bedrock Cloud Engineer

AWS Bedrock Cloud Engineer

Location: (New York City, NY / Atlanta, GA / Boston, MA) Hybrid 3 days onsite per week



Duration: 6 10 months



Interview: In-person

Note:

• Must be local with DL copy
• LinkedIn with location and photo (before 2023)

Ideal Candidate

The ideal candidate is a hands-on AWS Cloud Engineer with deep AWS Bedrock expertise who understands how to build secure, scalable, automated cloud infrastructure for enterprise AI and Agentic AI solutions.

Candidates should be comfortable working across AWS, AI platforms, APIs, containers, MCP infrastructure, Snowflake, Azure, DevSecOps, and Infrastructure as Code in a complex enterprise environment.

Job Summary

Our client is seeking an experienced AWS Bedrock Cloud Engineer to join their team and help architect, implement, automate, secure, and operate the AWS cloud platform supporting enterprise AI and Agentic AI solutions .

The ideal candidate will have strong, hands-on experience with AWS Bedrock and a solid background in cloud engineering, AI platform operations, DevSecOps, Infrastructure as Code (IaC), API integrations, and cloud-native architectures.

This role will focus on building and supporting scalable AI platforms that integrate AWS Bedrock, Snowflake Cortex Agents, MCP infrastructure, API layers, observability platforms, CI/CD pipelines, and Microsoft Copilot Studio across hybrid cloud environments.

Required Experience

• Strong hands-on experience with AWS Bedrock is mandatory.
• Extensive experience designing and implementing AWS cloud infrastructure .
• Hands-on experience with AWS Bedrock services , including model integrations, agents, knowledge bases, guardrails, or related capabilities.
• Experience building and managing MCP servers and tool endpoints .
• Experience integrating AWS-based AI solutions with Snowflake Cortex Agents .
• Strong experience with Amazon API Gateway and API integrations.
• Experience with containerized workloads , including Docker and Kubernetes/EKS or equivalent technologies.
• Experience designing and implementing event-driven architectures using AWS services.
• Experience with hybrid Azure-AWS environments and integrations .
• Strong understanding of DevSecOps principles and cloud security .
• Experience with Infrastructure as Code (IaC) , preferably Terraform and/or CloudFormation.
• Experience developing and maintaining CI/CD pipelines .
• Experience with cloud monitoring, logging, observability, and troubleshooting.
• Strong understanding of AWS networking, IAM, security controls, and enterprise cloud architecture.
• Experience working with enterprise AI/ML platforms and modern cloud-native architectures.

Qualifications

• Experience with Microsoft Copilot Studio integrations.
• Experience supporting Agentic AI architectures and enterprise AI platforms.
• Experience with AWS Lambda, ECS/EKS, EventBridge, SQS/SNS, CloudWatch, IAM, VPC, and related AWS services.
• Experience with enterprise API management and microservices architectures.
• Experience implementing security and governance controls for AI workloads.
• Strong scripting/programming skills using Python, Bash, or similar languages.
• Excellent communication and collaboration skills.