> Markdown version of [/jobs/ext/4152935-cloud-automation-engineer-edinburgh](https://www.wearedevelopers.com/jobs/ext/4152935-cloud-automation-engineer-edinburgh). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Cloud Automation Engineer- Edinburgh

- **Company:** FDM Group
- **Location:** Edinburgh, UK
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Cloud Database, Configuration Management, Continuous Integration, Data as a Services, Linux, Github, Identity and Access Management, Python (Programming Language), Key Management, Log Analysis, Network Segmentation, Windows PowerShell, Systems Development Life Cycle, Cloud Services, Ansible, Azure Machine Learning, Virtual Machines, Policy as Code, Azure Automation, Scripting, Cloud Platform System, DevOps Tools - Open-source, Infrastructure as Code (IaC), Git, Build Management, Microsoft Fabric, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Bicep, Azure OpenAI API, Puppet, Terraform, Semantic Kernel, Docker, Container Apps, Jenkins
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a4d311d3e108473b

## About the Role

* In-depth experience with Microsoft Azure, including compute, networking, storage and identity/Entra ID.
 * Strong understanding of infrastructure automation and Infrastructure as Code.
 * Terraform and/or Bicep experience.
 * Knowledge of Policy as Code, including technologies such as 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
 + Microsoft Defender for Cloud
 * Strong scripting experience using 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.

Desirable / additional technical knowledge

Exposure to some of the following would be particularly valuable:

 * Azure AI Foundry
 * Azure OpenAI Service
 * Microsoft Fabric
 * Semantic Kernel
 * LangChain
 * Azure Machine Learning
 * GPU-enabled Azure virtual machines
 * GPU-enabled AKS environments

## Description

FDM is a global business and technology consultancy seeking a Cloud Automation Engineer to work for our client within the Financial Services sector. This is initially a 6-12 month contract with the potential to extend and will be a hybrid role that will be based in Edinburgh., We're looking for an experienced Cloud Automation Engineer to help design and build the Azure infrastructure underpinning a growing portfolio of technology and AI initiatives.

You'll focus on creating secure, resilient and scalable cloud services and automating the infrastructure used by engineering teams. Working across engineering, architecture, security and application teams, you'll also help establish the standards, patterns and guardrails used to build and operate Azure environments.

The position sits within a Global Infrastructure Engineering function with a focus on strategic direction, implementation and third-line support.
Responsibilities:

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