Senior Platform Engineer (AI)

• Design, build, and maintain Azure landing zones, cloud foundations, and platform services for enterprise AI and cloud workloads
• Develop and maintain Terraform modules, Infrastructure-as-Code standards, and automated deployment frameworks
• Deliver secure, scalable container-based platforms using AKS, Azure Container Apps, and Azure Container Registry
• Implement cloud networking, security, identity, and governance controls in line with enterprise best practices and zero-trust principles
• Support AI solution implementation by introducing platform guardrails, observability, monitoring, and operational controls
• Collaborate with architects, developers, and stakeholders; mentor engineers and promote cloud engineering best practices across the team

Technologies:

• AI
• Azure
• CI/CD
• Cloud
• DevOps
• Firewall
• GCP
• Support
• Kubernetes
• MCP
• RBAC
• Security
• Terraform
• n8n, We at VIQU are supporting a large organisation seeking a Senior Platform Engineer (AI) to help build and evolve a new AI platform. This is an initial six-month contract, with scope to extend, based in Leicester with hybrid working. The contract is outside IR35, with a rate of £500-£600 per day.

• Proven experience designing and supporting enterprise Microsoft Azure platforms, including Azure Landing Zones, governance frameworks, and cloud foundations
• Strong Terraform and Infrastructure-as-Code expertise, including developing reusable modules, templates, and platform standards
• Hands-on experience with AKS, Kubernetes, Azure Container Apps, and Azure Container Registry
• Strong Azure networking experience, including Virtual Networks, ExpressRoute, DNS, Private Endpoints, NSGs, ASGs, and Azure Firewall
• Experience delivering CI/CD pipelines, platform automation, and cloud engineering best practices using Azure DevOps, scripting, and automation tooling
• Strong understanding of cloud security, Entra ID, RBAC, identity management, and zero-trust access control models
• Experience with modern AI platform technologies, including vector databases, MCP integrations, observability, FinOps, GCP, and workflow orchestration tools such as n8n