Cloud DevOps Engineer – AWS/Azure, CI/CD & Kubernetes

Appsierra Group; Dallas (TX); On-site; USD 118,000 - 174,000; Full time

Job summary

Appsierra Group is seeking a DevOps Engineer for US operations with 2–7 years of hands-on cloud experience. You will design, deploy, and manage scalable cloud infrastructure and CI/CD pipelines across AWS or Azure.

Responsibilities include container orchestration with Docker and Kubernetes, IaC using Terraform, and ensuring security and reliability. Collaboration with development and operations teams is essential for smooth deployments.

Qualifications

• 2–7 years of hands-on DevOps/Cloud engineering experience.
• Strong experience with AWS or Azure.
• Practical knowledge of Kubernetes, Docker, Jenkins, and Terraform.
• Good understanding of CI/CD, cloud security, networking, and Linux.
• Strong troubleshooting and communication skills.

Responsibilities

• Design, deploy, and maintain scalable cloud infrastructure.
• Build and manage CI/CD pipelines using Jenkins and related tools.
• Deploy and manage containerized applications with Docker and Kubernetes.
• Automate infrastructure provisioning using Terraform.
• Monitor system performance, availability, and security.
• Collaborate with development and operations teams to improve deployment processes.
• Troubleshoot production issues and optimize cloud environments.

Skills

AWS / Microsoft Azure

Docker & Kubernetes

Jenkins & CI/CD Pipelines

Terraform & Infrastructure as Code

Linux & Cloud Infrastructure

Git / GitHub

Monitoring & Deployment Automation

Tools

Docker

Kubernetes

Jenkins

Terraform

GitHub

Job description

Appsierra Group is seeking a DevOps Engineer for US operations with 2–7 years of hands-on cloud experience. You will design, deploy, and manage scalable cloud infrastructure and CI/CD pipelines across AWS or Azure.

Responsibilities include container orchestration with Docker and Kubernetes, IaC using Terraform, and ensuring security and reliability. Collaboration with development and operations teams is essential for smooth deployments.