GCP System Administrator - Global Retail Enterprise

Looking to advance your career as a GCP Systems Administrator? Join a leading global retail enterprise in Hong Kong to manage, secure, and optimise our cloud infrastructure. Working closely with the Integration & Cloud Specialist, you will champion Cloud Run, GKE, and FinOps, ensuring high availability, robust security, and cost efficiency across our global enterprise network.

Responsibilities

• Deploy, scale, and maintain cloud infrastructure workloads utilizing Google Kubernetes Engine (GKE) and Cloud Run architectures.
• Oversee lifecycle operations for Cloud SQL and database systems, implementing high‑availability frameworks, regular backups, and query‑tuning strategies.
• Design and implement end‑to‑end network topologies, governing VPC configurations, subnet structures, firewall policies, and custom Netgis deployments.
• Champion cloud financial engineering practices by monitoring system consumption, enforcing right‑sizing initiatives, and tracking committed‑use discounts to achieve optimal FinOps efficiency.
• Enforce a zero‑trust environment by administrating strict IAM access matrices and aligning infrastructure configurations with global organizational policies.
• Streamline software delivery cycles by managing continuous integration and delivery pipelines while driving automation through Infrastructure as Code (IaC).

Qualifications

• University degree in Computer Science, Information Technology, or an engineering‑related discipline.
• Minimum 3–5 years of experience managing production cloud environments or administering enterprise‑level infrastructure.
• Minimum 2+ years of hands‑on work experience focusing heavily on Google Cloud Platform (GCP) administration and DevOps practices.
• Mandatory Professional Certification: Active credential as a Google Professional Cloud Administrator or Cloud Architect.
• Practical expertise spanning GCP Compute services, VPC networking, Netgis configurations, and Cloud Load Balancing solutions.
• Proven capacity to manage transactional databases, handle replication, and coordinate database performance tuning.
• Strong familiarity with automated configuration tools, CI/CD pipeline structures, and modern system monitoring utilities.
• Solid comprehension of cloud billing metrics, resource allocation strategies, and financial optimization principles.
• Prior technical exposure collaborating with development environments using Python or building artificial intelligence models inside Google AI Studio is highly advantageous.
• Demonstrates a metrics‑driven approach to cloud security and cost management paired with strong problem‑solving capabilities.