Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation

BizTech Fusion is seeking an experienced Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation for one of their clients. The ideal candidate will be responsible for designing, implementing, securing, and automating cloud infrastructure while ensuring scalable, reliable, and compliant environments that support modern application development.

Responsibilities:

• Design, build, and maintain secure AWS cloud environments
• Develop and manage Infrastructure as Code solutions using Terraform and CloudFormation
• Automate cloud provisioning, deployments, and operational processes
• Design and maintain CI/CD pipelines for continuous delivery
• Implement DevSecOps best practices throughout the software delivery lifecycle
• Build and manage containerized environments using Docker and Kubernetes
• Implement cloud security controls and compliance standards
• Monitor cloud infrastructure performance, availability, and reliability
• Configure logging, monitoring, and alerting solutions
• Collaborate with development, security, and operations teams
• Troubleshoot infrastructure, deployment, and production issues
• Create technical documentation and operational runbooks
• Support production releases, disaster recovery, and business continuity activities

Requirements:

• 10–12+ years of experience in Cloud Engineering, DevSecOps, Cloud Infrastructure, or related roles
• Must be a U.S. Citizen (No Dual Citizenship)
• Must be eligible to obtain and maintain a Public Trust Clearance
• Experience supporting enterprise-scale cloud environments or government/public sector projects
• Strong communication, troubleshooting, and problem-solving skills
• Strong hands-on experience with AWS Cloud Services, including EC2, Lambda, S3, RDS, API Gateway, SQS, IAM, CloudWatch, CloudFormation, VPC, ECS/EKS
• Experience developing and managing Infrastructure as Code (IaC) using Terraform and AWS CloudFormation
• Strong knowledge of DevSecOps methodologies, secure software development lifecycle (SSDLC), security automation, vulnerability management, and compliance automation
• Experience designing and managing CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline, or similar tools
• Hands-on experience with Docker, Kubernetes, and Amazon EKS
• Strong scripting experience with Python and Shell/Bash
• Experience with Git, GitHub, Agile/Scrum methodologies
• Understanding of cloud-native application technologies including Java, Spring Boot, React.js, REST APIs, and Microservices is preferred
• Candidates must have practical experience using AI-assisted development and automation tools such as GitHub Copilot, Amazon Q, ChatGPT, Claude, Other enterprise-approved AI assistants
• Experience leveraging AI tools for Infrastructure design and architecture planning, Infrastructure as Code generation, CI/CD pipeline development, Security automation, Cloud documentation, Code reviews, Troubleshooting, Automation scripting and operational support
• Candidates should be able to demonstrate how AI tools have improved cloud engineering productivity while maintaining security, quality, and production readiness
• Experience with federal government or large enterprise cloud modernization projects
• Experience with cloud migration initiatives
• Knowledge of Zero Trust Architecture and security frameworks
• Experience with AWS Well-Architected Framework
• Experience with cloud cost optimization and monitoring tools
• Kubernetes administration experience
• AWS or DevOps-related certifications are highly desirable