Full-Stack Engineer for AI-Powered Data Platform

FPT Asia Pacific; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

FPT Asia Pacific is seeking a Full Stack Engineer to join the internal product team in Singapore. You will build and enhance data-driven modules with AI-powered workflows, using ReactJS/TypeScript on the frontend and Python (Django/FastAPI) on the backend.

You will implement CI/CD pipelines with Gitlab, create automated tests, and participate in code reviews and architectural discussions to improve performance and reliability across distributed systems.

Qualifications

• At least 3 years of demonstrated experience with full-stack web development.
• Experience with CI/CD tools and working in a development team.
• Proficiency with JavaScript/TypeScript frontend (ReactJS) and Python backend frameworks (Django/Flask/FastAPI).
• Understanding of DevOps and automation for testing & deployment of containerized apps.

Responsibilities

• Develop and maintain full-stack applications using ReactJS with TypeScript for frontend and Python frameworks for backend.
• Build and enhance modules for a data-intensive system with AI-powered workflows.
• Implement and maintain CI/CD pipelines using Gitlab.
• Develop automated testing scripts and QA frameworks.
• Collaborate with team members and provide technical insights and feedback.
• Participate in code reviews and contribute to architectural decisions.

Skills

Full-stack development

CI/CD

ReactJS/TypeScript

Python web frameworks

DevOps

Software architecture

System design

Distributed systems

Technical decision-making

Tools

Git

Gitlab

Docker

Kubernetes

OpenTelemetry

Job description

FPT Asia Pacific is seeking a Full Stack Engineer to join the internal product team in Singapore. You will build and enhance data-driven modules with AI-powered workflows, using ReactJS/TypeScript on the frontend and Python (Django/FastAPI) on the backend.

You will implement CI/CD pipelines with Gitlab, create automated tests, and participate in code reviews and architectural discussions to improve performance and reliability across distributed systems.