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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.