Senior Cloud Engineer

• Design, build and maintain scalable cloud infrastructure, primarily within Microsoft Azure
• Develop reusable Terraform modules, infrastructure templates and automated deployment patterns
• Build and enhance Azure landing zones, networking and cloud foundations
• Support containerised workloads using Kubernetes, AKS and Azure Container Apps
• Implement secure, automated CI/CD pipelines and cloud governance standards
• Help develop the infrastructure required to support enterprise AI agents and workloads
• Work closely with architects, security teams and stakeholders to deliver production-ready solutions
• Support technical standards, code reviews and mentoring within the engineering team
• Contribute to platform monitoring, reliability and security improvements

Technologies:

• AI
• AI Agents
• Azure
• CI/CD
• Cloud
• Support
• Kubernetes
• Security
• Terraform
• DevOps

More:

We are partnering with a large, established UK organisation investing in a new enterprise AI platform. The first phase has been delivered, and the organisation is now developing scalable AI landing zones, with further data platform integration planned. This role offers the opportunity to contribute to a major AI platform initiative focused on cloud infrastructure, automation and reusable engineering standards. The position is based in Leicester, with hybrid working requiring three days onsite per week. The salary is up to £70,000 plus a performance-based bonus.

• Strong commercial experience in senior-level Azure cloud or platform engineering
• Excellent hands-on Terraform skills, including module and template development
• Strong understanding of Azure networking, landing zones and cloud infrastructure
• Experience with Kubernetes, AKS or Azure Container Apps
• Practical experience with automation, Infrastructure as Code and CI/CD
• Knowledge of cloud security, governance and scalable infrastructure design
• Experience owning technical delivery and working with wider engineering teams
• Strong problem-solving skills and the ability to work independently on complex infrastructure challenges
• Genuine interest in AI technologies and developing cloud infrastructure for AI workloads