Full Stack Developer

Changi Airport Group

Singapore

On-site

SGD 55,000 - 85,000

Full time

14 days+

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Job summary

Changi Digital Factory within Changi Airport Group is seeking a driven full stack developer to design, build, and maintain modern web applications. You will work in an agile squad delivering AI-enabled digital products that enhance airport operations and passenger experience.

You will collaborate with product owners, UX designers, and engineers while leveraging AWS to deploy scalable cloud-native solutions and API integrations. 1–3 years of experience is preferred.

Qualifications

  • 1–3 years of full stack development experience.
  • Proficiency in Python and JavaScript/TypeScript.
  • Familiarity with React or Next.js.
  • Experience with RESTful APIs and databases.
  • Exposure to AWS and CI/CD tooling.

Responsibilities

  • Develop and maintain full stack web applications using modern technologies.
  • Leverage AI-assisted tools to boost productivity and code quality.
  • Build backend services, RESTful APIs, UIs, and integrations with internal/external systems.
  • Collaborate with Product Owners, designers, and engineers to deliver solutions.
  • Design, deploy, and support cloud-native apps on AWS.
  • Create AI-enabled solutions integrating LLMs and AI agents where appropriate.
  • Evaluate AI outputs and improve accuracy and UX.
  • Troubleshoot issues and deliver reliable, scalable systems.
  • Participate in agile delivery and knowledge sharing.

Skills

Full stack development
Python
JavaScript/TypeScript
React/Next.js
RESTful APIs
AWS
CI/CD
AI concepts
Problem solving

Education

Bachelor's degree in CS or equivalent

Tools

AWS (Lambda, API Gateway)
GitHub Actions
Terraform / CDK
Git

Job description

An exciting opportunity awaits at Changi Digital Factory, driving the digital transformation ofChangi Airport Group. As part of an agile, cross-functional squad, you will contribute to thedesign and development of digital products and AI-enabled solutions that support airportoperations and commercial initiatives. Working alongside Product Owners, UX designers,engineers, and business stakeholders, you will deliver solutions that enhance businessoperations and the passenger experience.


Responsibilities:


  • Develop and maintain full stack web applications using modern technologies.

  • Leverage AI-assisted development tools to improve engineering productivity and codequality.

  • Develop backend services, RESTful APIs, user interfaces, and integrations with internal andexternal systems.

  • Collaborate with Product Owners, UX designers, business stakeholders, and engineers todeliver technical solutions.

  • Design, develop, test, deploy, and support cloud-native applications on AWS.

  • Build AI-enabled solutions integrating Large Language Models (LLMs) and AI agents whereappropriate.

  • Evaluate AI outputs and improve solution accuracy and user experience.

  • Troubleshoot application issues and deliver reliable, scalable solutions.

  • Participate in agile delivery and knowledge sharing.


Requirements:


  • Around 1–3 years of experience in full stack application development.

  • Proficiency in Python and/or JavaScript/TypeScript.

  • Familiarity with React or Next.js.

  • Basic understanding of backend development, RESTful APIs, and relational or NoSQLdatabases.

  • Exposure to AWS. Experience with services such as Lambda, API Gateway, DynamoDB, RDS,S3, Cognito, SNS, SQS, Bedrock, or AgentCore is an advantage.

  • Familiarity with Infrastructure as Code (AWS CDK or Terraform) and CI/CD tools (Git, GitHubActions, or similar) is a plus.

  • Basic understanding of generative AI concepts, including prompt design, LLM integration, AIagents, Retrieval Augmented Generation, tool use, and evaluation.

  • Awareness of software engineering practices for building reliable AI applications, such asgrounding, validation, guardrails, observability, and human-in-the-loop workflows, is anadvantage.

  • Strong analytical, problem-solving, and communication skills with a collaborative mindset.

  • Willingness to learn new technologies and work across both AI-related and conventionalsoftware development projects.

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