Azure DevOps Engineer (AI)

TL;DR

Azure DevOps Engineer (AI): Building and optimizing scalable, secure, and highly automated cloud platforms with an accent on infrastructure automation, CI/CD pipelines, and container orchestration. Focus on managing Azure-based environments, implementing robust security practices, and driving operational efficiency for AI-powered solutions.

Location: Guatemala City, Guatemala

Company

hirify.global is an AI-native organization that designs, builds, and scales meaningful, AI-powered solutions to transform business operations.

What you will do

• Provision and manage cloud infrastructure using Terraform and automation best practices.
• Develop and optimize CI/CD pipelines using GitHub Actions and Azure DevOps.
• Manage and enhance containerized workloads running on AKS and Kubernetes.
• Implement secure identity, access, and secrets management solutions.
• Monitor platform performance, reliability, and availability using observability tools.
• Collaborate within Agile teams to deliver secure and scalable cloud solutions.

Requirements

• 5+ years of experience in DevOps, Cloud Infrastructure, or Platform Engineering.
• Strong hands-on experience with Azure cloud services and Terraform.
• Proficiency with AKS, Kubernetes, and containerized workloads.
• Expertise in CI/CD automation using Azure DevOps and GitHub Actions.
• Solid understanding of cloud security, IAM, and Microsoft Entra ID.
• Proficiency in Linux administration and scripting with Bash, PowerShell, or Python.

Nice to have

• Azure, Terraform, or related cloud certifications.
• Experience with Datadog and Azure Application Insights.
• Knowledge of database deployments including PostgreSQL and SQL Server.

Culture & Benefits

• High-performance culture focused on ownership and innovation.
• Collaborative environment working with cross-functional teams.
• Commitment to AI-native transformation and modern engineering practices.
• Emphasis on continuous learning and professional growth.