Cloud Architect

2 days ago

Hong Kong Island, Hong Kong SAR China Classy Wheeler Limited Full time

Client Description Company Description: A leading IT solutions provider specializing in cloud, digital transformation, and enterprise technology services across Asia. Location: Kwun TongNature: Permanent Job Description Lead and mentor the cloud engineering team to deliver enterprise-scale solutions. Design and implement Azure Landing Zone architecture aligned with Microsoft Cloud Adoption Framework. Define subscription hierarchy, management groups, identity and access management (Entra ID), and network topology. Establish governance through Azure Policy, tagging standards, and cost management practices. Partner with sales teams to understand customer requirements and translate them into technical solutions. Develop solution proposals, architecture diagrams, and presentations for RFPs and tenders. Conduct technical workshops, demos, and proof‑of‑concepts to showcase Azure capabilities. Articulate value propositions and ROI for Azure solutions to business and technical stakeholders. Integrate security controls such as Azure Firewall, Defender for Cloud, and NSGs while ensuring compliance with regulatory standards. Implement operational resilience and disaster recovery strategies. Drive adoption of Infrastructure‑as‑Code (ARM, Bicep, Terraform) and CI/CD pipelines. Job Requirements Minimum 5 years of hands‑on experience with Microsoft Azure services and enterprise deployments. Strong expertise in Landing Zone design, governance, identity, and security. Proven ability to present technical solutions, handle objections, and engage with C‑level executives. Microsoft Certified: Azure Solutions Architect Expert certification preferred. Familiarity with Azure Kubernetes Service and hybrid/multi‑cloud strategies. Experience with Microsoft AI and Data services for advanced solution proposals. Excellent communication and presentation skills with both technical and business stakeholders. Strong leadership and mentoring abilities to guide engineering teams. Solid understanding of DevOps automation and modern cloud practices. #J-18808-Ljbffr

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