Azure DevOps / Infrastructure Engineer

Quantumloopai
UK
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Shift work
Job source

Tech stack

Application Performance Management Microsoft Azure Bash Shell Cloud Computing Cloud Engineering DevOps Monitoring of Systems Identity and Access Management Windows PowerShell Role-Based Access Control Data Logging Kubernetes
+9 more
Infrastructure Automation Frameworks Deployment Automation Performance Monitor Bicep Azure AKS Terraform Serverless Computing Azure Resource Manager Docker

Job description

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.

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).

DESIRABLE

  • 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 & conditions

  • 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., * 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

HOW WE ARE DIFFERENT

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. We measure success by real outcomes, not busy work
  • Transparency. Open communication, honest feedback, shared context
  • Ownership. You will have real autonomy to shape your work and our platform
  • Learning. We are building something new, and we learn from every experiment

About the company

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.

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