At a Glance
- Tasks: Build and optimise secure, scalable cloud solutions using Azure and emerging AI technologies.
- Company: Join a welcoming tech community at Computershare, focused on innovation and collaboration.
- Benefits: Flexible work options, health rewards, share purchase scheme, and recognition awards.
- Other info: Great career growth opportunities in a supportive environment.
- Why this job: Be at the forefront of cloud engineering and automation, making a real impact.
- Qualifications: Passion for cloud tech, strong technical skills, and a collaborative mindset.
The predicted salary is between 63000 - 77000 £ per year.
Location: London, Hybrid. In this position, you'll be based in the London office for a minimum of three days a week, with the flexibility to work from home for some of your working week.
We give you a world of potential. Are you motivated by the opportunity to work with modern cloud and AI technologies in a role that sits at the forefront of infrastructure transformation? This is an exciting opportunity to work across a modern technology landscape that spans Azure, automation, Infrastructure as Code, containerisation, DevOps, and emerging AI capabilities. You'll gain hands-on experience building and optimising cloud-native platforms while helping evolve traditional infrastructure into resilient, software-defined environments.
If you're passionate about cloud engineering, automation, and emerging technologies, and enjoy working in a collaborative environment where your ideas and expertise can help shape future capabilities, we'd love to see an application from you!
A role you will love: The role offers you the opportunity to work collaboratively across multiple technology teams and contribute to the evolution of traditional infrastructure into modern, software-defined platforms. This role is ideal for someone who enjoys solving complex technical challenges, thrives in a collaborative environment, and wants to be part of an organisation investing heavily in cloud, automation, and AI-driven innovation.
Other key 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.
What will you bring to the role? We're looking for an enthusiastic cloud engineer who is passionate about modern infrastructure, automation, and AI-driven technologies. You'll combine strong technical expertise with a collaborative mindset and a desire to continuously learn and improve. Some other key skills you'll have:
- 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
Desirable:
- Cloud FinOps
- Experience working within a technical cloud support function
- Exposure to AWS environments, although Azure expertise is the primary requirement
Rewards designed for you: Flexible work to help you find the best balance between work and lifestyle. Health and wellbeing rewards that can be tailored to support you and your family. Invest in our business by setting aside salary to purchase shares in our company, and you'll receive a company contribution as well. Extra rewards ranging from recognition awards and team get-togethers to helping you invest in your future. And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit computershare.com/careershub.
Azure Cloud Engineer employer: Computershare
Computershare is an exceptional employer, offering a flexible work culture that allows you to balance your professional and personal life while working in the vibrant city of Edinburgh. With a strong focus on employee growth, you will have access to tailored health and wellbeing rewards, opportunities for career advancement, and a supportive community of experienced colleagues dedicated to helping you succeed. Join us to be part of a global financial administration company that values innovation and collaboration, ensuring that your contributions make a meaningful impact.
