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AWS Integration Architect
Test Yantra. Design and implement AWS integrations and agent-based solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AWS integrations, managing APIs, and developing data pipelines. Proficient in deploying and securing agent-based solutions while ensuring observability and governance using AWS tools and services.
Highest-signal resume keywords
Amazon Bedrock AgentCoreAWS LambdaDockerAmazon S3Python Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS IntegrationsAPI DesignData Pipeline DevelopmentInfrastructure as CodeAgent GovernanceMCP Server DevelopmentObservability ImplementationIdentity and Authentication ConfigurationContainerizationAWS Network Components
Tools & Technologies
Amazon API GatewayAmazon CloudWatchAmazon CognitoAWS GlueAmazon ECSTerraformCloudFormationSLSSAMAmazon ECR
Industry Keywords
AgentCore PolicyAmazon Verified PermissionsCedar Policy AuthoringOAuth/OIDC FederationAWS WAFPrivateLinkSecrets ManagerM2M Client CredentialsJWTSAP Integration
Tech Stack
Tools & technologiesAWSDockerETLPythonTerraform
About the role
Key responsibilities & impact- Design and implement AWS integrations and agent-based solutions
- Deploy and secure MCP servers and agents using Amazon Bedrock AgentCore
- Establish agent governance using AgentCore Registry, AgentCore Policy, Amazon Verified Permissions, and Cedar policies
- Design and manage APIs with Amazon API Gateway and AWS Lambda
- Build containerized solutions using Docker, Amazon ECS on Fargate, and Amazon ECR
- Develop AWS data pipelines with Amazon S3, AWS Glue, and Amazon Athena
- Implement observability through Amazon CloudWatch and AgentCore observability/tracing
- Configure identity and authentication using Amazon Cognito, IAM/SigV4, and OAuth/OIDC federation with Microsoft Entra ID
- Develop MCP servers in Python, including with FastMCP
- Implement infrastructure as code using CloudFormation, SLS, SAM, or Terraform
- Work with AWS WAF, PrivateLink, Secrets Manager, and VPC network components
Requirements
What you’ll need- Must have hands-on experience with Amazon Bedrock AgentCore (Runtime, Identity, Gateway), including deploying and securing MCP servers and agents
- Experience with agent governance, including AgentCore Registry, AgentCore Policy, Amazon Verified Permissions, and Cedar policy authoring
- Experience with Amazon API Gateway and AWS Lambda, including API design, usage plans, API keys, and throttling
- Experience with Docker, Amazon ECS on Fargate, and Amazon ECR
- Experience with AWS data pipelines using Amazon S3, AWS Glue (ETL, Data Catalog), and Amazon Athena
- Experience with Amazon CloudWatch logs, metrics, alarms, and dashboards, plus AgentCore observability/tracing
- Experience with Amazon Cognito (M2M client credentials, JWT), IAM/SigV4, and OAuth/OIDC federation with Microsoft Entra ID
- Python proficiency and hands-on MCP server development, such as FastMCP
- Infrastructure as code using CloudFormation, SLS, SAM, or Terraform
- Experience with AWS WAF, PrivateLink, and Secrets Manager
- Knowledge of basic AWS network components inside VPC
- Nice to have: SAP integration via OData services experience
- Nice to have: Amazon Quick Suite and/or Microsoft Copilot Studio as agent clients
- Nice to have: Strands Agents SDK and AgentCore Memory API
- Nice to have: developer portal experience