Cloud Integration Engineer (Azure)

TL;DR

Cloud Integration Engineer (Azure): Designing and building cloud-based integrations and automation workflows using Azure Integration Services with an accent on secure data transit, infrastructure as code, and observability. Focus on automating manual business processes, implementing Bicep-based deployments, and leveraging AI-powered tools to enhance operational efficiency.

Location: Remote or Hybrid within the UK (England)

Company

hirify.global is a global insurance group focusing on employee ownership and international collaboration across 56 countries.

What you will do

• Design, build, and support cloud integrations using Azure API Management, Logic Apps, Service Bus, Event Grid, Data Factory, and Azure Functions.
• Automate infrastructure and deployments using Infrastructure as Code (Bicep) to ensure scalable environments.
• Implement observability by setting up dashboards, alerts, and logging using App Insights, Log Analytics, and KQL.
• Establish secure, private connectivity for business data using Azure Private Link, Private DNS, and Managed VNETs.
• Collaborate with architects and business analysts to scope, estimate, and document integration solutions.
• Drive business efficiency by automating manual processes and integrating new SaaS sources using AI and Power Platform.

Requirements

• Experience building and supporting integrations on Azure (Logic Apps, Service Bus, API Management, etc.).
• Hands-on skills with Infrastructure as Code, ideally Bicep, but ARM or Terraform are also valued.
• Track record of automating deployments through CI/CD pipelines across dev, test, and prod environments.
• Proficiency with Azure observability tools including App Insights and Log Analytics.
• Strong understanding of secure networking in Azure, such as Private Endpoints and VNETs.
• Must be based in the UK.

Nice to have

• Experience or interest in AI-powered automation.
• Knowledge of Power Platform or Copilot Studio.

Culture & Benefits

• Support for continuous learning in AI, automation, and advanced integration patterns.
• Collaborative environment within an expert team that values knowledge sharing.
• Flexible working arrangements, including hybrid options and flexible hours.
• Employee-owned company culture emphasizing diversity and professional growth.