Datacom

Senior Cloud Engineer

Datacom

full-time

Posted on:

Location Type: Hybrid

Location: Wellington • New Zealand

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AzureCloudDockerKubernetesLinuxTerraform

About the role

  • 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)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Azure servicesInfrastructure as CodeBicepTerraformDevOpsCI/CD pipelineAzure Kubernetes ServiceAzure Container InstancesDockerAzure AI Services
Soft Skills
strong communication skillsclient relationship buildingtechnical guidancecuriosityenthusiasm for AI
Certifications
Microsoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure Administrator Associate