Azure Cloud Engineer

London Source: WhatJobs

See advert for pay

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