Azure Cloud Engineer

asenium consulting • European Union
Remote
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AI Summary

We are seeking an Azure Cloud Engineer to design, validate, and operate cloud architectures for AI and data-driven solutions. The role requires strong technical expertise in Microsoft Azure and a broad understanding of enterprise infrastructure, networking, identity management, DevSecOps, and cloud governance. The engineer will work closely with Infrastructure and Cybersecurity teams to ensure architectural consistency, compliance, and operational resilience.

Key Highlights
Design, validate, and operate cloud architectures for AI and data-driven solutions
Ensure alignment with enterprise infrastructure and cybersecurity frameworks
Support secure and efficient deployments, identity and access management, networking, monitoring, and cost control
Provide hands-on support to development teams during deployment and implementation phases
Key Responsibilities
Review and approve solution designs
Implement Azure landing zones and cloud-native services
Ensure proper identity and access management, networking, monitoring, and cost control
Support CI/CD and DevOps practices for AI workloads
Provide hands-on support to development teams during deployment and implementation phases
Troubleshoot complex cloud issues
Contribute to security assessments and risk mitigation plans
Ensure AI Factory solutions are production-ready, scalable, secure, and compliant with corporate standards
Technical Skills Required
Microsoft Azure Azure Automation Cloud Infrastructure Cloud Infrastructure Architecture
Benefits & Perks
Remote work

Job Description


For one of my customer in Europe we are looking for a Azure cloud Engineer.

Duration: 6+ months renewable

Location: Europe(100% remote)

Description:

we are strengthening our Azure Cloud capabilities to ensure a secure, scalable, and enterprise-grade foundation for AI and data-driven solutions. The Azure Cloud Engineer will play a key role in designing, validating, and operating cloud architectures that meet our infrastructure standards and cybersecurity requirements. This role requires a strong technical expertise in Microsoft Azure combined with a broad understanding of enterprise infrastructure, networking, identity management, DevSecOps, and cloud governance. The engineer will work in close alignment with Infrastructure and Cybersecurity teams to ensure architectural consistency, compliance, and operational resilience across all AI Factory initiatives.


Goals and deliverables:


  • The Azure Cloud Engineer will be responsible for validating and refining cloud architectures, ensuring alignment with enterprise infrastructure and cybersecurity frameworks, and supporting secure and efficient deployments.
  • Key deliverables include reviewing and approving solution designs, implementing Azure landing zones and cloud-native services, ensuring proper identity and access management, networking, monitoring, and cost control, and supporting CI/CD and DevOps practices for AI workloads.
  • The role will also provide hands-on support to development teams during deployment and implementation phases, troubleshoot complex cloud issues, contribute to security assessments and risk mitigation plans, and ensure that AI Factory solutions are production-ready, scalable, secure, and compliant with corporate standards.


Skills:

  • Microsoft Azure
  • Azure Automation
  • Cloud Infrastrucutre
  • Cloud Infrastructure Architecture

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