GCP Cloud Engineer (Azure Migration) – AI-Enabled Environment | Hong Kong | Hong Kong, HK | Hybrid

We are currently partnering with a leading global consulting organisation supporting a major insurance client in Hong Kong on a large-scale cloud transformation initiative, with increasing focus on AI-enabled platforms and modern data ecosystems.

This is a critical, high-impact role where you will be embedded on-site with the client, playing a key role in delivering a cloud migration programme while contributing to a broader evolution towards AI-driven capabilities.

Key Responsibilities

• Support and deliver cloud migration initiatives from Azure to Google Cloud Platform (GCP)
• Work closely with client stakeholders on-site in Hong Kong to ensure smooth execution and alignment
• Collaborate with distributed engineering teams across APAC (Malaysia, India, Australia)
• Take ownership of technical delivery, ensuring quality, timelines, and outcomes are met
• Contribute to solution design, troubleshooting, and continuous improvement of cloud environments
• Support cloud foundations that enable downstream AI / data-driven use cases

Key Requirements

• Strong hands-on experience with Google Cloud Platform (GCP)
• Proven experience in Azure environments, ideally with migration projects to GCP
• Background in cloud engineering within consulting or client-facing environments
• Understanding of modern cloud architectures supporting data and AI workloads is advantageous
• Ability to operate independently on-site while collaborating with remote teams
• Strong communication and stakeholder management skills
• Experience within financial services or insurance environments is advantageous

What We’re Looking For: We are looking for someone who brings not just technical capability, but also ownership, accountability, and a strong delivery mindset. This role requires someone who can operate with maturity, build trust with stakeholders, and contribute to a high-performing team environment.

Additional Information

• Location: Hong Kong (on-site required)
• Engagement: Contract / Subcontract (initial engagement with potential extension)
• Start: Immediate / Urgent

This is an opportunity to be part of a strategic programme with strong potential for longer-term involvement as the project expands into broader cloud and AI initiatives.