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# AWS Cloud Engineer

- **Company:** Techno Talent Inc.
- **Location:** McLean, VA, United States
- **Contract:** Contract
- **Skills:** Amazon Web Services, Amazon S3, Automation of Tests, Cloud Engineering, Static Program Analysis, Continuous Integration, Amazon Simple Notification Service (SNS), AWS Cdk, Delivery Pipeline, State Machines, AWS Lambda, AWS AppSync, Infrastructure as Code (IaC), Cloudformation, Servicebus, Infrastructure Automation Frameworks, Tenable Nessus, AWS Fargate, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Intelligent Document Processing, Data Pipelines, Serverless Computing, Static Application Security Testing, Vulnerability Analysis, Dynamic Application Security Testing
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/b09184db-ea38-41e9-81f9-1dd710dbce1d

## About the Role

We are seeking a Cloud Engineer with expertise in AWS serverless architectures, Infrastructure as Code, CI/CD, and automated testing, plus hands-on experience with Intelligent Document Processing (IDP) and Bedrock Data Automation (BDA)., * Proven experience with AWS serverless services (Lambda, API Gateway, Step Functions, EventBridge, SQS, SNS, S3, AppSync, Cognito, Fargate).

 * Strong hands-on skills in IaC (CloudFormation, CDK, SAM, Terraform).
 * Experience building CI/CD pipelines with AWS CodeSuite (CodePipeline, CodeBuild, CodeDeploy, CodeCommit, CodeStar, CodeArtifact).
 * Knowledge of automated testing, SAST/DAST, dependency and IaC scanning tools.
 * Familiarity with Intelligent Document Processing (IDP) concepts and tools.
 * Experience with Bedrock Data Automation (BDA) or similar data automation platforms.
 * Excellent problem-solving and collaboration skills.

## Description

* Deploy and maintain AWS-native serverless architectures using services such as AWS Lambda, API Gateway, Step Functions, EventBridge, SQS, SNS, S3, AppSync, Cognito, and Fargate.
 * Maintain Infrastructure as Code (IaC) using AWS CloudFormation, AWS CDK, SAM, or Terraform.
 * Design, build, and maintain CI/CD pipelines using AWS-native tooling such as CodePipeline, CodeBuild, CodeDeploy, CodeCommit/CodeStar Connections, and CodeArtifact.
 * Integrate automated testing (unit, integration, contract, end-to-end), static code analysis, security scanning (SAST/DAST), dependency scanning, and IaC scanning (e.g., cfn-nag, cfn-guard, Checkov) into pipelines.
 * Implement and optimize Intelligent Document Processing (IDP) workflows for extracting, classifying, and processing structured and unstructured documents.
 * Apply Bedrock Data Automation (BDA) to automate data pipelines, transformations, and integration tasks across cloud and on-prem systems.