Senior Azure Cloud Engineer: Scale, Secure & Automate

Datamatics-Global-Services-Ltd; Stockholms kommun; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

Datamatics-Global-Services-Ltd is seeking an experienced Azure Cloud Engineer with 5–6 years of hands-on expertise to build, manage, and optimize secure, scalable Azure environments.

Responsibilities include configuring Entra ID, networking, and governance, implementing CI/CD pipelines, and using Terraform, Bicep, or ARM templates for deployment. Strong focus on security, monitoring, and reliable architecture.

Qualifications

• 5–6 years hands-on experience in Microsoft Azure/cloud engineering.
• Strong experience with Microsoft Azure infrastructure and services.
• Hands-on with Microsoft Entra ID and identity/access management.
• Knowledge of Azure networking (VNets, Subnets, NSGs, Private Endpoints).
• Experience with CI/CD pipelines and automated deployment processes.
• IaC using Terraform, Bicep, or ARM templates.
• Experience with Azure Monitor and Application Insights.
• Strong understanding of cloud security, access management, and governance.
• Troubleshooting Azure infrastructure, networking, identity, and deployment issues.
• Knowledge of Azure architecture, scalability, availability, and reliability.

Skills

Azure Cloud Engineering

Microsoft Entra ID

Azure Networking

Azure VNets

Subnets

Network Security Groups

Private Endpoints

CI/CD pipelines

Infrastructure as Code

Terraform

Bicep

ARM templates

Azure Monitor

Application Insights

Cloud security

Identity/access management

Azure architecture

Azure cost optimization

Azure DevOps

GitHub Actions

Azure Policy

PowerShell

Azure CLI

Tools

Terraform

Bicep

ARM templates

Azure CLI

PowerShell

Job description

Datamatics-Global-Services-Ltd is seeking an experienced Azure Cloud Engineer with 5–6 years of hands-on expertise to build, manage, and optimize secure, scalable Azure environments.

Responsibilities include configuring Entra ID, networking, and governance, implementing CI/CD pipelines, and using Terraform, Bicep, or ARM templates for deployment. Strong focus on security, monitoring, and reliable architecture.