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# Azure Platform Engineer - Outside IR35

- **Company:** Be-IT
- **Location:** Glasgow, UK
- **Experience:** Expert
- **Salary:** £130,000.0 - £169,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Release Automation, Microsoft Azure, Software as a Service, Cloud Computing, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Monitoring of Systems, Identity and Access Management, PostgreSQL, Network Planning and Design, Cloud Services, Azure Service Bus, Data Logging, Kubernetes, Bicep, Terraform
- **Published:** August 26, 2026
- **Apply:** https://www.reed.co.uk/jobs/azure-platform-engineer-outside-ir35/57278956

## About the Role

* Hands-on, current experience in production Azure (AKS or Container Apps, managed Postgres, Service Bus or Event Hubs).
 * Fluent in Terraform or Bicep for infrastructure as code.
 * Built and run CI/CD pipelines, ideally on Azure DevOps, that hold up under real load.
 * Confident across cloud networking, identity and access governance.
 * Treat observability as core engineering work
 * Comfortable directing AI coding tools (Claude Code, Cursor, Copilot) as a daily working habit.
 * Bonus: hybrid on-premise exposure, or a SaaS/product engineering background.

Skills

 * Azure Cloud Infrastructure
 * CI/CD (DevOps)
 * Cloud Services & Infrastructure
 * DevOps
 * Infrastructure Management
 * Kubernetes
 * Observability & Monitoring
 * Terraform (Infrastructure as Code)
 * Terraform (Infrastructure as Code) (Kubernetes)

## Description

We're seeking a Senior Platform Engineer for a growing engineering business modernising its core platform on Azure, with AI central to daily delivery. They need a Platform Engineer to run that cloud environment day to day: dependable, properly governed, and set up so engineers and AI agents can ship changes with confidence.

What you'll be doing:

 * Shape the platform architecture: container orchestration, managed database services, the messaging layer.
 * Own the path from commit to production: pipelines, release automation, rollback.
 * Handle network design, identity management and access governance for the platform.
 * Keep the platform observable: tracing, logging, alerting, the works.
 * Bridge cloud and on-premise systems through a phased migration.
 * Set the guardrails for AI-generated infrastructure changes.


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