Senior Cloud Engineer

Role Overview

• Designing, engineering, and delivering technical solutions for clients using Azure services
• Focusing on agentic automation, infrastructure-as-code, and integrating intelligent cloud solutions
• Maintaining strong client relationships
• Providing expert technical guidance and solutions to resolve business challenges
• Delivering cloud platform solutions on Azure
• Leveraging expert skills in Infrastructure as Code, platform and application/workload lifecycle management
• Identifying opportunities to adopt and integrate Azure AI services
• Developing and maintaining strong internal and external relationships
• Contributing to standards, practices and practice initiatives

Requirements

• 5+ years in IT with at least 3 years’ experience in cloud project delivery or platform engineering
• Hands-on experience delivering complex Azure cloud projects
• Strong communication skills
• Ability to build trusted client relationships
• Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate, or equivalent certifications
• Experience deploying Azure Landing Zones for medium to large enterprises using Azure CAF (Cloud Adoption Framework) best practices
• Migration of services to and within Azure, including lift-and-shift and cloud-native transformations
• Intermediate to expert experience with Infrastructure as Code using Bicep and/or Terraform
• Strong knowledge of DevOps and CI/CD pipeline design and implementation using Azure DevOps and GitHub Actions
• Good working knowledge of accelerator-based deployments and vending architectures to streamline and standardise cloud infrastructure delivery
• Advanced Azure security and networking skills including Entra ID, Role-Based Access Control (RBAC), Azure Policy, Azure Security Center, VNets, Subnets, NSGs, and Azure Firewall
• Foundational knowledge or hands-on experience with Azure AI Services
• Understanding of how to securely architect and govern AI workloads within an enterprise Azure environment
• Container orchestration and management experience using Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and Docker
• Experience with Windows and Linux operating systems in cloud environments
• Integration experience with identity and federation providers such as Entra ID, ADFS, or third-party SSO solutions
• Curiosity and enthusiasm for AI and its application to cloud architecture and migration
• Exposure to Azure AI services such as Azure OpenAI Service, Azure Machine Learning, or Microsoft Copilot
• Experience using AI-assisted development or productivity tools (e.g., GitHub Copilot)

Tech Stack

• Azure
• Cloud
• Docker
• Kubernetes
• Linux
• Terraform