Cloud / DevSecOps Engineer - AI-Enabled Cloud Automation

• 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.

• 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.

Required Technical 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.

AI-Enabled Cloud Engineering Experience

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.

BizTech Fusion is seeking an experienced Cloud / DevSecOps Engineer - AI-Enabled Cloud Automation for one of our clients. The ideal candidate will have strong expertise in AWS Cloud, DevSecOps, Infrastructure as Code (IaC), CI/CD automation, containerization, Kubernetes, and AI-enabled cloud engineering.

The candidate will be responsible for designing, implementing, securing, and automating cloud infrastructure while ensuring scalable, reliable, and compliant environments that support modern application development.