Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation
Company: BizTech Fusion
Location: 100% Remote (USA)
Experience: 10–12+ Years
Job Type: Contract
About the Role
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.
Required Qualifications
- 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.
Key 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.
Preferred Qualifications
- 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.
If you are an experienced Cloud/DevSecOps Engineer with expertise in AWS, automation, Kubernetes, Infrastructure as Code, and AI-enabled cloud engineering, we encourage you to apply and join BizTech Fusion on impactful technology initiatives.