Azure Infrastructure & Cloud Delivery Lead

FWD Group Management Holdings Limited

Hong Kong

On-site

HKD 900,000 - 1,300,000

Full time

3 days ago
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Benefits offered by this job

5-day workweek
20–22 days annual leave
Learning & development opportunities
Attractive package

Job summary

FWD Group is seeking an experienced Infrastructure/Cloud engineer in Hong Kong to deliver, operate, and improve Azure-based infrastructure and cloud platforms. You will work with Enterprise Architecture, IT Security & Assurance, and vendors to ensure secure, reliable, scalable services across business initiatives.

Responsibilities include managing Azure VNets, Private Endpoints, PaaS services, and automation using IaC tools.

Qualifications

  • Minimum five years hands-on infrastructure or cloud engineering experience.
  • Strong knowledge of Microsoft Azure infrastructure, networking, identity and RBAC.
  • Experience with automation and IaC using Terraform, ARM templates, Azure CLI, PowerShell, Python, and Git.

Responsibilities

  • Manage infrastructure work from requirement analysis to design, implementation, testing, and handover.
  • Deliver Azure infrastructure, connectivity, monitoring, identity, and platform requirements for projects.
  • Operate Azure Monitoring tools, dashboards, alerts, and reporting with Grafana and Log Analytics.

Skills

Azure infrastructure
Networking
Identity & RBAC
PaaS services
Grafana/Monitoring
KQL & Diagnostics
AD/ADFS/SAML/OAuth
Automation/IaC
Scripting (PowerShell/Python)
Git & templates

Tools

Terraform
ARM templates
Azure CLI
PowerShell
Python
Git
Grafana
Azure Monitor

Job description

FWD Group is seeking an experienced Infrastructure/Cloud engineer in Hong Kong to deliver, operate, and improve Azure-based infrastructure and cloud platforms. You will work with Enterprise Architecture, IT Security & Assurance, and vendors to ensure secure, reliable, scalable services across business initiatives.

Responsibilities include managing Azure VNets, Private Endpoints, PaaS services, and automation using IaC tools.

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