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 are supporting a large organisation in hiring 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 rate is £500-£600 per day, and the role is outside IR35. We welcome referrals; a reward of up to £1,000 may be available for a successful referral, subject to terms.

• 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 tools
• Strong understanding of cloud security, Entra ID, RBAC, identity management and zero-trust access control models
• Experience with modern AI platform technologies, such as vector databases, MCP integrations, observability, FinOps, GCP and workflow orchestration tools such as n8n