Microsoft Cloud Architect (Remote)

RemoteOur client seeks a cloud architect to design, implement, and govern secure AWS environments across development, testing, and production. The role covers enterprise architecture, AI implementation support, infrastructure as code, DevSecOps, CI/CD, cost optimization, and operationalization of prototypes through production while aligning to least privilege, compliance, and ATO documentation requirements. Due to federal security clearance requirements, applicant must be a United States Citizen with an active Public Trust clearance. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Architect enterprise-level AWS cloud infrastructures across sandbox, analytical, research, development, testing, and production environments. Support AI implementation projects and integrate required services and controls. Design and prototype solutions that leverage AWS services and tooling to meet performance and reliability objectives. Embed technology reuse patterns, scalable security architectures, and optimized cloud usage. Define IAM policies aligned to least privilege principles. Create solutions architectures for new applications, including deployment strategies, service selection, and integration patterns. Develop and maintain infrastructure as code with CloudFormation, Terraform, or AWS CDK.Drive cloud cost governance and optimization. Build and maintain CI/CD pipelines using CodeCommit, GitLab CI, GitHub Actions, or AWS Code Pipeline. Integrate security scanning, including SAST, DAST, dependency, and container scanning. Lead release management across environments and automate infrastructure deployments. Implement secrets management and secure configuration practices. Deliver infrastructure as code using GAO-approved tools such as AWS CDK and CloudFormation. Proven experience architecting AWS environments at enterprise scale across multiple environments. Hands-on experience supporting AI implementation projects. Proficiency with infrastructure as code using CloudFormation, Terraform, or AWS CDK.Experience building and operating CI/CD pipelines with modern tooling. Knowledge of integrating security scanning into pipelines. Background in cloud cost optimization and governance.