Azure Cloud & DevOps Consultant / Manager

Tech stack:

• Cloud Platform: Microsoft Azure
• Infrastructure as Code: Terraform
• DevOps & Automation:
  • CI/CD pipelines (Azure DevOps, Git-based workflows)
  • Automated deployments
• Platforms:
  • Power Platform
  • Dynamics 365
• Practices:
  • Cloud infrastructure management
  • Environment provisioning and governance
  • Secure and scalable deployment patterns

Project description:

You will join a project focused on building, managing, and automating Azure-based environments that support Power Platform and Dynamics 365 solutions.
The goal is to ensure consistent, secure, and repeatable deployments across multiple environments using Infrastructure as Code and modern DevOps practices.
You will work closely with both technical and functional teams to align infrastructure design with application and business requirements.

• Strong expertise in Azure infrastructure and DevOps
• Hands-on experience with Terraform for Infrastructure as Code
• Proven experience building and maintaining CI/CD pipelines
• Practical knowledge of deploying and managing Power Platform and Dynamics 365 resources through automation
• Good understanding of cloud security, governance, and best practices
• Ability to work independently in a consulting / project-based environment
• Strong problem-solving skills and ability to troubleshoot infrastructure and pipeline issues
• Very good communication skills and ability to collaborate with technical and functional stakeholders

For Manager / Lead level:

• 5+ years of relevant experience in Azure Cloud & DevOps roles
• Experience leading or coordinating technical teams
• Ability to provide technical direction and support delivery management

For Senior Consultant level:

• Up to 4 years of relevant experience in Azure and DevOps
• Strong hands-on technical skills and delivery-focused mindset

• Experience with Power Platform ALM and managed solutions deployment
• Knowledge of Azure governance frameworks (e.g. Landing Zones, policies)
• Experience working in enterprise or multi-environment setups
• Consulting or client-facing project experience
• Experienced in using AI tools in day-to-day workflow