Infrastructure Cloud Engineer - Azure

About the role

An established Lloyd's market insurer is seeking an Infrastructure Cloud Engineer to design, implement and improve its cloud infrastructure, platform services and automation capabilities. The role combines hands-on Azure engineering with support for application delivery and data platforms, helping the business build secure, scalable and reliable technology foundations. It is based in London with a hybrid arrangement.

Key responsibilities

• Design, deploy and maintain secure, scalable and cost-effective Microsoft Azure infrastructure.
• Build repeatable environments using Infrastructure as Code tools such as Terraform, Bicep or ARM templates.
• Support cloud infrastructure for application hosting, APIs, containerised workloads and associated services.
• Implement and maintain CI/CD pipelines, automated deployments, environment provisioning and release automation using Azure DevOps.
• Support cloud-based data ingestion, storage, transformation, analytics and reporting platforms, and optimise them for business intelligence and data engineering workloads.
• Develop automation using PowerShell, Python and Azure Automation.
• Implement monitoring, alerting, logging and observability, and support incident, problem and change management.
• Embed security, governance, backup and recovery controls, and contribute to disaster recovery and business continuity.
• Provide technical guidance on cloud architecture and reliability, maintain documentation and share knowledge.

Required profile

• Hands-on Microsoft Azure experience covering networking, security, identity and access management.
• Experience building and managing infrastructure with Terraform, Bicep, ARM templates or equivalent.
• Practical experience with Azure DevOps and CI/CD pipelines.
• Knowledge of Microsoft 365, Entra ID, Intune and related cloud technologies.
• Experience with monitoring, logging, observability, backup and disaster recovery.
• Experience supporting SQL platforms, data services or cloud-based data workloads, and managing Microsoft Fabric and/or Azure Databricks.
• Strong technical design, documentation and secure architecture skills, and a collaborative approach.

Required skills

• PowerShell and/or Python scripting and automation
• Terraform, Bicep, ARM templates
• Azure DevOps and CI/CD pipelines
• Desirable: Docker, Kubernetes, Datadog, Microsoft Sentinel, Defender for Cloud, data engineering pipelines, platform engineering, insurance or financial services background, Azure certifications