Infrastructure Lead

Requirements

• Kubernetes experience managing large-scale containerized applicationsMust
• Azure cloud architecture knowledge and experienceMust
• Infrastructure as Code (Terraform) deployment experienceMust
• GPU provisioning knowledge and experienceMust
• Experience with data-heavy environments and machine learning or AI infrastructure exposureMust
• MCP (Model Context Protocol) servers or comparable agent orchestration frameworksMust
• Identity management and permissions management understandingMust
• Strong communication skills engaging with technical teams and business usersMust
• Experience working in fast-paced change environments

What you'll do

• Infrastructure layer ownership connecting intelligent agents securely to business systems
• Manage MCP (Model Context Protocol) servers and agent orchestration frameworks
• System access controls and permissions management for AI agent access to business data
• Support integrations with Microsoft 365, Airtable, SharePoint, and Sage platforms
• Manage compute scaling requirements for AI infrastructure
• Ensure model training goals are achieved efficiently
• Maintain strict cost controls across AI infrastructure and environments
• Build scalable and reliable environments supporting rapid AI agent deployment
• Collaboration with IT Infrastructure teams on security and compliance alignment

About the role

This role will form a pivotal part of our Global Technology function, working alongside our AI practice to build, own and manage the technical foundation that powers our AI deployments. This is an exciting opportunity to join at a pivotal time and be a key part in shaping our AI future! Responsibilities • Own the infrastructure layer that connects intelligent agents securely to business systems. • Manage MCP (Model Context Protocol) servers, system access controls, and environment connections. • Support integrations with platforms including Microsoft 365, Airtable, SharePoint, and Sage. • Guide orchestration activities to support AI agent deployments. • Manage compute scaling requirements. • Ensure model training goals are achieved efficiently. • Maintain strict cost controls across AI infrastructure and environments. • Build strong, scalable, and reliable environments that support rapid deployment. • Ensure the secure and governed connection of AI agents into core enterprise platforms. • Ensure appropriate access controls and permissions are in place as agentic systems interact with live business data. Skills and Experience • Experience managing large-scale containerised applications using Kubernetes. • Strong knowledge and experience of cloud architecture, specifically Azure. • Confidence deploying Infrastructure as Code using tools such as Terraform. • Strong understanding of GPU provisioning. • Experience building and operating in data-heavy environments, ideally with exposure to machine learning or AI infrastructure. • Practical experience with MCP (Model Context Protocol) servers, or comparable agent orchestration and tool integration frameworks used to connect AI agents to enterprise systems. • Understanding of system access controls, identity management, and permissions management, particularly in governing AI agent access to sensitive business systems and data. • Comfortable working with IT Infrastructure teams to align AI infrastructure decisions with broader technology, security, and compliance standards. • Strong communication skills, with the ability to engage effectively with both specialist technical teams and business users. • Experience working in a fast-paced change environment. Equal Opportunities adm-Indicia is proud to be an equal opportunity employer and is committed to creating a diverse environment. We recruit, employ, develop, compensate, and promote regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Should you need any reasonable adjustments made to this application process, please don't hesitate to let us know. Originally posted on Himalayas