Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation
BizTech Fusion•Dallas, TX
•Remote
About The Position
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.
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.
- Practical experience using AI-assisted development and automation tools such as GitHub Copilot, Amazon Q, ChatGPT, Claude, or 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, and automation scripting and operational support.
- Ability to demonstrate how AI tools have improved cloud engineering productivity while maintaining security, quality, and production readiness.
Nice To Haves
- Understanding of cloud-native application technologies including Java, Spring Boot, React.js, REST APIs, and Microservices is preferred.
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
