G78 - Full Stack Engineer

FPT Asia Pacific

Singapore

On-site

SGD 90,000 - 150,000

Full time

3 days ago
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Job summary

FPT Asia Pacific in Singapore seeks an experienced Full Stack Engineer to design, develop, deploy, and maintain secure, scalable web apps and AI-enabled products.

You will drive end-to-end development, integrating frontend and backend with cloud infrastructure and AI services, in an Agile and DevOps environment.

Qualifications

  • Degree or diploma in a computer-related field with hands-on full stack experience.
  • Proven ability to deliver production-ready web apps across the SDLC.
  • Strong Git, version control, and modern branching workflows; Agile/DevOps mindset.

Responsibilities

  • Design, develop, deploy, and maintain scalable full stack apps.
  • Own end-to-end development of frontend, backend, cloud, and AI integrations.
  • Build responsive, accessible UIs with modern frontend frameworks.
  • Develop secure, scalable RESTful APIs and system integrations.
  • Develop and maintain AI-enabled applications with LLM/RAG features.
  • Implement CI/CD pipelines and automated testing; automate deployments.

Skills

JavaScript
TypeScript
React
Next.js
Node.js
Python
FastAPI
RESTful APIs
GraphQL
WebSockets
Redis
Docker
AWS
Git
CI/CD
Kubernetes
Agile
DevOps

Education

Bachelor's degree in Computer Science
Diploma in IT

Tools

GitLab CI/CD
Docker
Kubernetes
AWS
Next.js
React
FastAPI

Job description

Role Overview

We are seeking an experienced Full Stack Engineer to design, develop, deploy, and maintain secure, scalable, and high-performance web applications and AI-enabled products.

The successful candidate will be responsible for end-to-end application development, integrating frontend and backend technologies, cloud infrastructure, and AI services. The role requires strong software engineering fundamentals, hands‑on experience with modern development frameworks, and the ability to deliver production-ready solutions in an Agile and DevOps-driven environment.

Key Responsibilities
  • Design, develop, deploy, and maintain scalable, secure, and high-performing full stack applications.
  • Take ownership of end-to-end application development, including frontend, backend, cloud infrastructure, and AI service integration.
  • Develop responsive, accessible, and user-friendly web interfaces using modern frontend frameworks.
  • Design and implement secure, reliable, and scalable backend services, RESTful APIs, and system integrations.
  • Develop, enhance, and maintain AI-enabled applications and products in production environments.
  • Integrate Large Language Models (LLMs), retrieval-augmented generation (RAG), AI agents, and automation capabilities into applications.
  • Implement automated unit and integration testing to ensure software quality and reliability.
  • Develop and optimise CI/CD pipelines to support automated builds, testing, and deployments.
  • Automate cloud infrastructure provisioning, application monitoring, and deployment processes.
  • Implement application security best practices, including authentication, authorisation, API security, and secure coding.
  • Monitor application performance, troubleshoot production issues, and implement continuous improvements.
  • Collaborate with cross-functional teams to deliver high-quality digital and AI solutions.
  • Evaluate emerging technologies and engineering practices to improve application performance, scalability, and developer productivity.
Requirements
Education & General Experience
  • Degree or Diploma in Computer Science, Computer Engineering, Information Technology, or a related discipline.
  • Strong hands‑on experience in full stack software development.
  • Experience delivering production-ready web applications across the software development lifecycle.
  • Proficiency with Git, version control, and modern branching workflows.
  • Familiarity with Agile development methodologies and DevOps practices.
Frontend Development
  • Strong proficiency in JavaScript and TypeScript.
  • Hands‑on experience with React.js and/or Next.js.
  • Experience developing responsive, accessible, and user‑centric web applications.
  • Familiarity with UI frameworks and component libraries such as Material-UI or Tailwind CSS.
Backend Development
  • Strong experience with Node.js (Express.js, NestJS) and/or Python (FastAPI, Flask, Django).
  • Experience designing, developing, and integrating RESTful APIs.
  • Familiarity with GraphQL, WebSockets, and third‑party API integrations.
  • Knowledge of caching technologies such as Redis, API rate limiting, load balancing, and horizontal scaling.
  • Experience integrating applications with enterprise systems and external platforms.
AI Application Development
  • Hands‑on experience developing and deploying LLM-powered applications in production.
  • Experience implementing retrieval‑augmented generation (RAG), function/tool calling, and AI agent workflows.
  • Understanding of LLM guardrails, response evaluation, and AI application reliability.
  • Proficiency in using AI‑assisted coding tools while maintaining software engineering best practices.
Cloud, DevOps & Infrastructure
  • Hands‑on experience with AWS cloud services and cloud‑native architectures.
  • Experience implementing and maintaining GitLab CI/CD pipelines.
  • Experience with Docker and containerised application deployment.
  • Familiarity with infrastructure automation, application monitoring, logging, and observability tools.
Application Security
  • Experience implementing authentication and authorisation mechanisms, including OAuth and JWT.
  • Knowledge of API security, secure coding practices, and OWASP Top 10.
  • Understanding of cloud security principles and application vulnerability management.
  • Awareness of LLM‑specific security risks, including prompt injection and sensitive data leakage.
Software Quality & Testing
  • Experience with unit testing, integration testing, and automated testing frameworks.
  • Ability to troubleshoot, debug, and resolve application and production issues.
  • Strong understanding of software maintainability, performance optimisation, and engineering best practices.
Added Advantages
  • Experience delivering projects within the Singapore Government or Public Service sector.
  • Familiarity with government security, governance, and compliance requirements.
  • Experience with Microsoft Copilot, Azure OpenAI, or other enterprise AI platforms.
  • Experience developing AI agents, copilots, chatbots, or workflow automation solutions.
  • Familiarity with Kubernetes and container orchestration platforms.
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