[Hiring] Senior Cloud Engineer @Datacom

Role Description

We have an outstanding Azure engineering opportunity that you won’t want to miss! You will be joining a fantastic team within our Public Cloud practice, where collaboration and mutual support across team and locations are core values. This is your chance to be part of a business and team that places a strong emphasis on both people and customer success.

Your day-to-day activities will include designing, engineering, and delivering technical solutions for clients using Azure services, with a focus on agentic automation, infrastructure-as-code, and integrating intelligent cloud solutions, while maintaining strong client relationships.

• Engineering – providing expert technical guidance and solutions to resolve business challenges.
• Implementation, migration, and modernisation – delivering cloud platform solutions on Azure.
• Leveraging your expert skills in Infrastructure as Code, platform and application/workload lifecycle management to provide great outcomes for your clients.
• Innovation – identifying opportunities to adopt and integrate Azure AI services (such as Azure OpenAI, AI Search, or Cognitive Services) to future-proof client environments.
• Developing and maintaining strong internal and external relationships, demonstrating technical excellence throughout all engagements.
• Contributing to standards, practices and practice initiatives.

Qualifications

• 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 and ability to build trusted client relationships.
• Curiosity about emerging technologies and AI.

Requirements

• 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 (e.g., Azure OpenAI, Azure AI Search, Azure Machine Learning, or Azure AI Studio).
• An 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).

Benefits

• Social events and chill-out spaces.
• Remote working and flexible hours.
• Professional development courses.