Cloud Full-Stack Engineer — AI-Driven, Multi-Cloud (AWS/Azure)

Pinpoint Asia; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Pinpoint Asia, on behalf of a leading financial group in Hong Kong, seeks a Cloud Full-Stack Engineer to build cloud-native web apps with TypeScript frameworks (React, Next.js, NestJS) and Python for a central cloud management portal.

You will deploy and support resilient cloud infrastructure across AWS and Azure, develop ETL data flows, and embed security in pipelines while enabling AI features to enhance platform intelligence.

Qualifications

• Degree holder in Computer Science, Software Engineering or related field.
• 3+ years building cloud-native apps with AWS and Azure APIs, SDKs or services.
• Proficiency in TypeScript, NestJS, Next.js, React and Python.
• Experience with ETL jobs, IaC (Terraform/CloudFormation) and databases.
• Knowledge of Docker, Kubernetes, cloud security and networking.
• Experience implementing AI features with LangChain or LlamaIndex.

Responsibilities

• Construct and maintain robust web apps using TS frameworks for the cloud portal.
• Architect and support high-availability cloud infrastructure across AWS and Azure.
• Develop ETL data flows for multi-cloud asset data accuracy and performance.
• Establish automated CI/CD pipelines with security in development and cloud configs.
• Incorporate AI features to boost platform intelligence and developer productivity.

Skills

TypeScript

NestJS

Next.js

React

Python

ETL

Docker

Kubernetes

Terraform

CloudFormation

LangChain

LlamaIndex

Education

Degree in Computer Science, Software Engineering, or related field

Tools

AWS

Azure

NoSQL databases

Relational databases

Job description

Pinpoint Asia, on behalf of a leading financial group in Hong Kong, seeks a Cloud Full-Stack Engineer to build cloud-native web apps with TypeScript frameworks (React, Next.js, NestJS) and Python for a central cloud management portal.

You will deploy and support resilient cloud infrastructure across AWS and Azure, develop ETL data flows, and embed security in pipelines while enabling AI features to enhance platform intelligence.