Cloud ​/ DevSecOps Engineer – AI-Enabled Cloud Automation

Cloud / Dev Sec Ops  Engineer – AI-Enabled Cloud Automation

Company:
Biz Tech Fusion

Location:

100% Remote (USA)

Experience:

10–12+ Years

Job Type: Contract

Biz Tech Fusion is seeking an experienced Cloud / Dev Sec Ops  Engineer – AI-Enabled Cloud Automation for one of our clients. The ideal candidate will have strong expertise in AWS Cloud, Dev Sec Ops , 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.

• 10–12+ years of experience in Cloud Engineering, Dev Sec Ops , 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, Cloud Watch, Cloud Formation, VPC, ECS/EKS.
• Experience developing and managing Infrastructure as Code (IaC) using Terraform and AWS Cloud Formation.
• Strong knowledge of Dev Sec Ops  methodologies
  , secure software development lifecycle (SSDLC), security automation, vulnerability management, and compliance automation.
• Experience designing and managing CI/CD pipelines using Jenkins, Git Hub Actions, AWS Code Pipeline, or similar tools.
• Hands-on experience with Docker, Kubernetes, and Amazon EKS
  .
• Strong scripting experience with Python and Shell/Bash
  .
• Experience with Git, Git Hub, Agile/Scrum methodologies
  .
• Understanding of cloud-native application technologies including Java, Spring Boot, React.js, REST APIs, and Microservices is preferred.

• Git Hub Copilot
• Amazon Q
• ChatGPT
• Claude
• Other enterprise-approved AI assistants

• 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.

• Design, build, and maintain secure AWS cloud environments.
• Develop and manage Infrastructure as Code solutions using Terraform and Cloud Formation.
• Automate cloud provisioning, deployments, and operational processes.
• Design and maintain CI/CD pipelines for continuous delivery.
• Implement Dev Sec Ops  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.

• 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 Dev Ops-related certifications are highly desirable.