Cloud Automation Engineer- Edinburgh

Job summary

The Cloud Automation Engineer designs and builds secure, resilient, and scalable Microsoft Azure infrastructure for technology, AI, and data initiatives in the financial services sector. The role develops repeatable infrastructure patterns and Infrastructure as Code with Terraform and Bicep, implements cloud governance and security controls, automates delivery and configuration, and supports containers and third-line infrastructure operations. It also involves monitoring and troubleshooting Azure environments using Azure Monitor and Log Analytics.

Benefits

Qualifications

• In-depth experience with Azure compute, networking, storage, and identity/Entra ID.
• Strong understanding of infrastructure automation and Infrastructure as Code.
• Experience with Terraform and/or Bicep.
• Knowledge of Policy as Code, including Azure Policy, Open Policy Agent, or Terraform Sentinel.
• Strong understanding of Azure security controls, including identity and access management, network segmentation, private endpoints, Azure Key Vault, and Microsoft Defender for Cloud.
• Strong scripting experience with PowerShell, Python, or Go.
• Experience with CI/CD and DevOps tooling.
• Understanding of container technologies.
• Good knowledge of Windows and Linux fundamentals, diagnostics, and monitoring.
• Understanding of systems development and product lifecycles.
• Experience translating requirements into automated infrastructure solutions.

Responsibilities

• Design, build, and automate secure, scalable Azure infrastructure.
• Translate application, platform, and business requirements into repeatable infrastructure patterns.
• Develop and maintain Infrastructure as Code using Terraform and Bicep.
• Support automated configuration management with Ansible, Puppet, or Azure Automation.
• Implement cloud governance and Policy as Code controls.
• Build security controls for identity, networking, secrets, and access.
• Develop automation and tooling with PowerShell, Python, or Go.
• Support automated delivery using Azure DevOps, GitHub Actions, Jenkins, and Git.
• Support containerised workloads using Docker, Kubernetes/AKS, and Azure Container Apps.
• Monitor and troubleshoot cloud environments with Azure Monitor and Log Analytics.
• Support infrastructure requirements for emerging AI and data services.

Skills

Industry

Contract length

Relocation