Senior Cloud Engineer

VIQU IT; Leicester; Hybrid; GBP 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Performance-based bonus

Zusammenfassung

VIQU IT is partnering with a large UK organisation to build a brand-new enterprise AI platform in Leicester. The Senior Cloud Engineer - AI Platform will design and deliver scalable cloud infrastructure in Azure, develop reusable Terraform modules, and support AI workloads and automation across the business.

The role is hybrid with 3 days on-site per week, offering up to £70,000 plus a performance-based bonus.

Qualifikationen

• Senior-level Azure cloud or platform engineering experience.
• Hands-on Terraform skills with module and template development.
• Experience with Kubernetes, AKS or Azure Container Apps.
• Solid understanding of cloud networking and landing zones.
• Automation, Infrastructure as Code and CI/CD experience.

Aufgaben

• 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.

Kenntnisse

Azure cloud

Terraform

Kubernetes

CI/CD

Security/governance

Problem solving

Tools

Terraform modules

Azure

AKS

Azure Container Apps

Jobbeschreibung

Senior Cloud Engineer - AI Platform

Leicester | Hybrid, 3 days onsite per week

Up to £70,000 + Performance-Based Bonus

VIQU has partnered with a large, established UK organisation that is investing in a brand-new enterprise AI platform. They are looking for an experienced Senior Cloud Engineer - AI Platform to help build the secure, scalable cloud infrastructure that will enable AI agents and automation solutions to be developed and deployed across the business. This is an opportunity to get involved in a major AI platform initiative, working on cloud infrastructure, automation and reusable engineering standards rather than purely maintaining existing systems. The organisation has already delivered the first phase of its AI platform and is now developing scalable AI landing zones, with further data platform integration planned.

Key Responsibilities of the Senior Cloud Engineer - AI Platform

• 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.

Key Requirements of the Senior Cloud Engineer - AI Platform

• 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.