ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a senior Azure DevOps / Infrastructure Engineer to take ownership of our Azure cloud infrastructure. This is a hands-on role focused on building, securing and optimising the platform that underpins everything we do — from access control and monitoring to scalability, cost governance and deployment automation. You will establish best practices, mentor the engineering team on infrastructure and DevOps topics, and ensure our cloud environment is robust, observable and cost-efficient as we scale. This role has an immediate focus on infrastructure setup, monitoring and optimisation, with longer-term ownership of our cloud strategy as the platform grows. WHAT YOU WILL DO RBAC and Access Management - Design and implement robust Role-Based Access Control (RBAC) policies across our Azure environment. - Set up and manage users, groups and service principals to ensure secure, least-privilege access to all Azure resources. Monitoring and Observability - Build dashboards to monitor performance, utilisation and health of Azure resources, providing actionable insights to the engineering team. - Implement centralised logging and telemetry solutions using Azure Monitor, Application Insights and related tooling. - Set up proactive alerting to detect and resolve potential issues before they impact users. Scalability and Performance - Architect and implement scalable infrastructure to handle increasing workloads as the platform grows. - Optimise infrastructure and application performance for maximum reliability and responsiveness. Cost Governance - Analyse resource utilisation, identify waste and recommend cost-saving measures. - Ensure cost-efficient deployment, scaling and lifecycle management of Azure resources. DevOps and Automation - Own and improve CI/CD pipelines, containerisation (Docker, Kubernetes) and deployment automation. - Establish infrastructure-as-code practices using Terraform, Bicep or equivalent tooling. - Enforce security best practices across all environments. Technical Leadership - Establish and promote best practices for Azure infrastructure and DevOps processes across the engineering team. - Provide guidance and mentorship to team members on cloud architecture, security and operational excellence.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a senior Azure DevOps / Infrastructure Engineer to take ownership of our Azure cloud infrastructure. This is a hands-on role focused on building, securing and optimising the platform that underpins everything we do — from access control and monitoring to scalability, cost governance and deployment automation. You will establish best practices, mentor the engineering team on infrastructure and DevOps topics, and ensure our cloud environment is robust, observable and cost-efficient as we scale. This role has an immediate focus on infrastructure setup, monitoring and optimisation, with longer-term ownership of our cloud strategy as the platform grows. WHAT YOU WILL DO RBAC and Access Management - Design and implement robust Role-Based Access Control (RBAC) policies across our Azure environment. - Set up and manage users, groups and service principals to ensure secure, least-privilege access to all Azure resources. Monitoring and Observability - Build dashboards to monitor performance, utilisation and health of Azure resources, providing actionable insights to the engineering team. - Implement centralised logging and telemetry solutions using Azure Monitor, Application Insights and related tooling. - Set up proactive alerting to detect and resolve potential issues before they impact users. Scalability and Performance - Architect and implement scalable infrastructure to handle increasing workloads as the platform grows. - Optimise infrastructure and application performance for maximum reliability and responsiveness. Cost Governance - Analyse resource utilisation, identify waste and recommend cost-saving measures. - Ensure cost-efficient deployment, scaling and lifecycle management of Azure resources. DevOps and Automation - Own and improve CI/CD pipelines, containerisation (Docker, Kubernetes) and deployment automation. - Establish infrastructure-as-code practices using Terraform, Bicep or equivalent tooling. - Enforce security best practices across all environments. Technical Leadership - Establish and promote best practices for Azure infrastructure and DevOps processes across the engineering team. - Provide guidance and mentorship to team members on cloud architecture, security and operational excellence.

• Act as L2 support for Engineering Operations when incidents or issues occur

• Be an essential part of the team responsible for crafting and delivering creative cloud solutions for our clients. • Participate in technical envisioning, technical design, and delivery of assigned projects. • Work with solution architects to support project efforts from a technical perspective. • Execute the implementation of designed solutions into client deliverables. • Assist with design and deployment of client workloads into Azure. • Provide technical expertise and support across the following four areas of specialization: • Datacenter Transformation • Azure Infrastructure • DevOps and CI/CI pipelines • Cloud Automation