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Open nowFirst seen 3 days ago

G78 - Full Stack Engineer

FPT Asia Pacific Pte Ltd230 open roles

Where
Singapore
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Your applicationOpen nowG78 - Full Stack EngineerFPT Asia Pacific Pte Ltd · Singapore
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. FPT Asia Pacific Pte Ltd postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

FPT Asia Pacific Pte Ltd median: 1 days open

The posting

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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