QuantumLoopAI is one of the UK's fastest-growing healthtech companies, and we are seeking a senior Azure DevOps / Infrastructure Engineer to take ownership of our Azure cloud infrastructure. This hands-on role focuses on building, securing, and optimizing the platform that underpins our AI-powered service delivery, including access control, monitoring, scalability, cost governance, and deployment automation. The role involves establishing best practices, mentoring the engineering team, and ensuring our cloud environment is robust, observable, and cost-efficient as we scale. Initially, the focus will be on infrastructure setup, monitoring, and optimization, with longer-term ownership of our cloud strategy as the platform grows.
Responsibilities
- Design and implement robust Role-Based Access Control (RBAC) policies across the Azure environment
- Set up and manage users, groups, and service principals to ensure secure, least-privilege access to all Azure resources
- 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
- Architect and implement scalable infrastructure to handle increasing workloads as the platform grows
- Optimise infrastructure and application performance for maximum reliability and responsiveness
- Analyse resource utilisation, identify waste, and recommend cost-saving measures
- Ensure cost-efficient deployment, scaling, and lifecycle management of Azure resources
- 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
- 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
Requirements
- 5+ years of hands-on experience with Azure cloud services, including infrastructure setup, management, and optimisation
- Proficiency in setting up and managing RBAC, users, groups, and service principals within Azure
- Strong knowledge of Azure Monitor, Application Insights, and related monitoring and observability tools
- Experience designing and building custom dashboards for resource monitoring and performance tracking
- Expertise in logging and telemetry frameworks, and setting up proactive alerting
- Familiarity with DevOps practices, CI/CD pipelines, and tools such as Azure DevOps
- Proven ability to design scalable cloud architectures and optimise for both performance and cost
- Strong problem-solving skills with a focus on proactive, preventative solutions
- Excellent written and verbal communication skills, comfortable mentoring engineers and advising leadership
- Comfortable working remotely and aligning to UK business hours (9:00 AM to 6:00 PM GMT/BST)
Nice to have
- Azure certifications such as Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert
- Knowledge of scripting and automation using PowerShell, Bash, or Terraform
- Experience with infrastructure-as-code tools (Terraform, Bicep, or ARM templates)
- Experience with Azure Kubernetes Service (AKS), Azure Functions, and serverless architectures
- Experience in cost analysis and budget management for cloud resources at scale
- Familiarity with security compliance frameworks relevant to cloud infrastructure
Benefits
- Competitive package depending on experience
- Potential share options
- Professional development including conference attendance and CPD support
- The opportunity to own cloud infrastructure strategy at one of the UK's fastest-growing healthtech companies
- Remote working with a collaborative, high-ownership engineering culture
- Direct impact on platform reliability and scalability during a critical growth phase
Additional details
- Education: We value skills and experience over formal qualifications
- Working arrangements: Fully remote from India, aligned to UK business hours (9:00 AM to 6:00 PM GMT/BST)
- Start date: Flexible
- At QuantumLoopAI, you will join a team that is building AI-powered products used by hundreds of organisations across the UK. We move fast, take ownership, and celebrate wins together. Our culture values: Impact over optics, Transparency, Ownership, Learning
- We believe diverse teams build better products. We welcome applications from candidates of all backgrounds, and we are committed to creating an inclusive environment where everyone can do their best work. If you are excited about this role but do not meet every requirement, we would still love to hear from you
- QuantumLoopAI will never ask candidates for payment or sensitive financial information during the recruitment process. All official communications come from @quantumloopai.com email addresses
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