Azure Cloud Engineer

Company: Computershare
Apply for the Azure Cloud Engineer
Location: London
Job Description:

Overview

In this role you will drive the transformation of traditional infrastructure into modern, software-defined platforms on a cloud-centric stack. You collaborate across tech teams to deliver secure, scalable Azure solutions while leveraging automation, IaC, and AI capabilities. The role focuses on building cloud-native platforms, optimizing cost and performance, and enabling self-service tooling in a fast-evolving environment. This is a hands-on position with impact on platform maturity and innovation.

Pay / Benefits

  • Flexible work arrangements
  • Health and wellbeing rewards
  • Share purchase plan with company contribution
  • Recognition awards and team events
  • Career development and growth opportunities
  • Welcoming, close-knit culture

Responsibilities

  • Build, deploy, and maintain secure, scalable cloud solutions across Azure, ensuring performance, reliability, cost efficiency, governance, and alignment with business and digital platform objectives
  • Develop cloud-native automation, containerised workloads (Kubernetes), Infrastructure as Code (Terraform), CI/CD pipelines, and AI platform capabilities, including Azure AI services, reusable patterns, landing zones, observability, and operational handover
  • Apply cloud security best practices, identity and access management, encryption, monitoring, compliance controls, and operational processes to maintain secure and resilient environments
  • Partner with engineering, architecture, operations, networking, security, and DevOps teams to integrate solutions, support change management, create self-service tooling and documentation, and drive user enablement and training
  • Monitor KPIs, report on cloud adoption, uptime and cost optimisation, support agile delivery practices, and evaluate emerging cloud and AI technologies to enhance platform capabilities and business value

Key requirements

  • Azure DevOps administration and platform management
  • Strong understanding of Git version control, branching strategies, and pull request workflows
  • Experience designing and implementing Azure Enterprise-Scale Landing Zones
  • Configuration and management of Azure Firewall solutions
  • Design and deployment of secure Azure Virtual WAN (vWAN) environments
  • Infrastructure as Code (IaC) using Terraform
  • Development, management, and lifecycle maintenance of Terraform modules
  • Experience with AI platforms and services, including Azure AI Foundry and Large Language Models (LLMs)
  • Machine Learning knowledge, including frameworks such as TensorFlow
  • Automation-first mindset with strong DevOps practices and ways of working
  • Experience implementing and managing Azure Front Door and Firewall solutions
  • Previous experience working within a Financial Services or other highly regulated environment
  • Collaborative mindset
  • Continuous learner
  • Strong problem-solving abilities
  • Azure DevOps administration
  • Git version control and PR workflows
  • Azure Enterprise-Scale Landing Zones

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Posted: October 3rd, 2026