Full Stack Developer

Changi Airport Group

Singapore, SGonsitePosted Aug 2, 2026
Posting intelligenceActively listed

Skills

javascripttypescriptterraformdynamodbnextpythonreactcicdawsllm

About the role

Requisition ID: 7133

Country: SG

Work Schedule: Non-Shift Work Schedule

Employment Type: Permanent

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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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