Platform Engineer (AI & Data) - Elite Finance Institution - J12727

About the Client: Our client is a premier, highly prestigious financial institution based in Hong Kong, responsible for maintaining systemic stability and integrity across the financial sector. They are currently embarking on an exciting journey of simplifying and transforming their business and IT landscape. Driven by a multi-year digitalisation programme, they are rapidly expanding their AI & Innovation capabilities. This is an exceptional opportunity to shape the technological backbone of one of the region's most critical institutions.

The Role, Responsibilities, and Landscape:

As a core member of the platform engineering group, you will act as a pivotal technical bridge between infrastructure, data, and application layers.

• Develop, test, and evaluate platform solutions to support a cutting-edge next-generation AI Platform and Data Lakehouse.
• Assist in and automate the day-to-day operations of these platforms to ensure high reliability.
• Contribute heavily to platform development, including logging, monitoring, and deploying proprietary, open-source, or in-house applications.
• Develop services and seamlessly integrate them using internal and external APIs / MCPs.
• Collaborate closely with AI Engineers, Data Engineers, and business stakeholders to drive the development and deployment of robust AI applications and data pipelines.

Conduct proof-of-concept (PoC) testing and proactively identify new technologies to improve scalability and maintainability.

What We Are Looking For:

• A University degree in computer science, software engineering, or a related field.
• A minimum of 4 years of proven experience in platform development.
• Mandatory Scripting & Infrastructure: Mastery of Python, Bash, SQL alongside Docker, Terraform, Helm, and Kubernetes.
• Mandatory CI/CD & Methodologies: Deep expertise with Jenkins, Git, Ansible and strict knowledge of DataOps/MLOps principles.
• Enterprise Scale: Proven experience delivering AI or data platforms within large-scale enterprise environments.
• Highly Advantageous: Relevant certifications in public cloud platforms (AWS, Azure, AliCloud) , and familiarity with modern tech stacks, including Monitoring (Grafana, Loki), Vector DBs (Milvus, Qdrant), AI Orchestration (Langchain), or Lakehouse tools (Airflow, Spark). Excellent communication skills and data-driven thinking.

Why apply to this role: You will be stepping into an environment where technology is viewed as a primary enabler, not just a support function. You will have the budget and mandate to evaluate and implement new, cutting-edge technologies. Offered as a highly stable, renewable 12-month contract, this role provides immense resume value, giving you the chance to architect solutions at a scale and impact level rarely seen in the commercial market.