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.

Role Description Cloud Engineering/Platform Engineering. Cloud/DevOps Engineer responsible for designing and deploying secure Azure infrastructure using Terraform and Bicep. This project is on modernizing CIAM infrastructure in Azure by implementing secure, scalable, and compliant cloud-native solutions. The initiative includes provisioning and deploying infrastructure using Terraform and Bicep. The objective is to enhance encryption, strengthen security controls, and ensure high availability and compliance with enterprise security standards. Qualifications - 13+ Years of experience - Must be a hands-on Microsoft Azure System Engineer - Must have Azure App Service - Must have Azure native deployment - Must have Landing Zones (Very important) - Must have Azure Key Vault (Premium) - Must have Terraform Landing Zones - Must have Bicep - Must have worked on Azure DevOps (ADO) - Must have Azure infra using IaC - Must have Implementing CI/CD pipelines in Azure DevOps for infrastructure deployments - Must have Azure Private Endpoints - Must have Azure Networking Git - Must have Service Principals - Must have RBAC - Experience with set/troubleshoot security mechanisms like mTLS - Must have AppInsights experience - Experience with certificate management, manual and implementing automation - Experience with PowerShell - Familiarity with IAM and user authentication (such as OAuth and SAML) is preferred - Experience with ServiceNow preferred - Strong troubleshooting skills required - Proactive ownership of the system engineer space is necessary, including identifying and prioritizing work as a recommended roadmap - Managing role-based access control (RBAC) and service principal configurations - Collaborating with architects and security teams to ensure compliance with encryption and networking standards - Troubleshooting pipeline failures and network access issues (e.g., firewall and private endpoint configurations) - Supporting sandbox, dev, and environment-specific infrastructure deployments - Willing to work on On Call rotation Requirements - Must be willing to use your own laptop - Must be willing to work in PST Hours - 3 levels of interviews - 1st interview - Introduction on Azure skills - 2nd interview - 1 hour coding interview - 3rd interview with manager Company Description

• Contribute to our global Technology Operations organization as a DevOps Engineer. • Provide agile, secure, and automated delivery pipelines and platform resilience for cloud-native workloads running on AWS and Azure. • Lead end-to-end CI/CD infrastructure design, container orchestration, observability integration and system reliability in development, staging, and production environments. • Collaborate with Site Reliability, Application, Network and Security Engineering teams to align infrastructure delivery with evolving business and technical requirements. • Design, maintain, and document CI/CD infrastructure, supporting canary deployments, blue/green strategies, and infrastructure-as-code best practices. • Automate and manage Kubernetes (AKS) workloads using Helm, Kustomize, and GitOps patterns (ArgoCD).

• Operating and optimizing Kubernetes clusters (EKS) and AWS infrastructure • Debugging complex issues (performance, scheduling, OOM, CrashLoopBackOff) • Deploying and operating self-hosted services (e.g., Istio, OpenSearch, RabbitMQ) • Implementing GitOps (Argo CD / Flux) and observability (logging, metrics, tracing) • Defining SLIs/SLOs and alerting strategies • Developing backup and disaster recovery concepts (including RTO/RPO) • Analyzing and improving system architectures (scalability, security, single points of failure)