Azure DevOps Engineer: GitHub Actions, Terraform & Docker

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); Sur place; USD 110 000 - 160 000; Plein temps

Résumé du poste

MACHINE LEARNING TECHNOLOGIES LLC is seeking a DevOps Engineer in Atlanta, GA for a 13-month engagement. You will design and maintain CI/CD pipelines with GitHub Actions, implement IaC with Terraform on Azure, and work with AKS, App Services, ACE, APIM, and other Azure services.

The role involves automation with shell and Python, containerized apps, and collaboration across teams. The ideal candidate has 4+ years in DevOps, strong Terraform and scripting skills, and experience with WebLogic,

Qualifications

• Bachelor’s degree in Computer Science or equivalent.
• 4+ years of professional DevOps or related experience.
• Strong experience with GitHub Actions (YAML pipelines, triggers, build agents, and deployments).
• Hands-on experience with Azure and/or AWS cloud platforms.
• Expert knowledge of Terraform and Infrastructure as Code (IaC) principles.
• Proficiency in shell scripting and Python for automation.
• Solid understanding of Docker and containerization within CI/CD pipelines.
• Experience with application servers such as WebLogic, Spring Boot, React.js, and Node.js, preferably containerized.
• Ability to write clean, maintainable, and efficient code.
• Strong troubleshooting and problem-solving skills.
• Excellent communication and collaboration skills.

Responsabilités

• Design, develop, and maintain GitHub Actions CI/CD pipelines using YAML configurations, triggers, build agents, release management, and deployment strategies.
• Implement and manage Infrastructure as Code (IaC) using Terraform for provisioning and managing Azure cloud resources.
• Work extensively with Azure services, including AKS, App Services, ACE, APIM, Azure Front Door, ADF, Power Apps, and Application Gateway.
• Automate operational tasks and integrate with on-premise systems using shell and Python scripting.
• Integrate and manage CI/CD pipelines for on-premise application deployments.
• Build, package, and deploy applications using Docker and buildpacks within CI/CD pipelines.
• Manage deployment and configuration of application servers such as WebLogic, Spring Boot, and Node.js (containerized).
• Support and maintain Node.js applications deployed in Docker containers.
• Configure and maintain Apache HTTP Server (httpd).
• Develop self-service DevOps capabilities in Azure DevOps for developers and automation engineers.
• Train and mentor developers on CI/CD best practices and DevOps workflows.
• Collaborate with DevOps Tools and Automation teams to continuously improve DevOps maturity and efficiency.

Connaissances

GitHub Actions

Terraform

Azure

AWS

Shell scripting

Python

Docker

AKS / Kubernetes

WebLogic

Spring Boot

Node.js

React.js

Formation

Bachelor’s degree in Computer Science

Outils

GitHub

Description du poste

MACHINE LEARNING TECHNOLOGIES LLC is seeking a DevOps Engineer in Atlanta, GA for a 13-month engagement. You will design and maintain CI/CD pipelines with GitHub Actions, implement IaC with Terraform on Azure, and work with AKS, App Services, ACE, APIM, and other Azure services.

The role involves automation with shell and Python, containerized apps, and collaboration across teams. The ideal candidate has 4+ years in DevOps, strong Terraform and scripting skills, and experience with WebLogic,