Cloud / DevSecOps Engineer – AI-Enabled Cloud Automation

Worky; Dallas (TX); On-site; USD 124,000 - 207,000; Part time

Job summary

BizTech Fusion is seeking a seasoned Cloud / DevSecOps Engineer to design, secure, and automate AI-enabled cloud infrastructure for enterprise-scale applications. The role emphasizes AWS services, IaC with Terraform/CloudFormation, and secure CI/CD practices in a remote USA setting.

Ideal candidates have 10–12+ years in cloud engineering, DevSecOps, and related fields, with strong collaboration and problem-solving skills. A public trust clearance is a plus for this contract position.

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.

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.

Skills

AWS Cloud Services

Terraform

CloudFormation

DevSecOps

SSDLC

CI/CD pipelines

Docker

Kubernetes

Python

Shell/Bash

Git

GitHub

Agile/Scrum

Java

Spring Boot

React.js

REST APIs

Microservices

Tools

Terraform

AWS CloudFormation

Jenkins

GitHub Actions

AWS CodePipeline

Job description

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

• 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.