Full-Stack Engineer — Cloud-Native, GenAI-Driven Delivery

Housing & Development Board; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Housing & Development Board is seeking engineers to deliver high-impact digital products from design to live operations. You will join a cross-functional team and contribute across the full software lifecycle, including cloud-native architecture, CI/CD pipelines, frontend and backend development, resilience engineering, and test automation.

GenAI-assisted workflows may be explored as we evolve development practices.

Qualifications

• Experience in modern frontend and backend web application development.
• Experience with cloud-native engineering on AWS, GCP, or Azure.
• Experience with microservices architecture and scalable, fault-tolerant systems.
• Familiarity with event-driven patterns and messaging like SQS/SNS/Kinesis.
• Exposure to relational and non-relational stores (e.g., PostgreSQL, DynamoDB).
• Proficient with containerisation and infrastructure-as-code (Docker, Terraform).
• DevSecOps mindset with CI/CD and SAST/DAST awareness.
• Test-Driven Development and automated testing across the stack.

Responsibilities

• Contribute to iterative delivery across the full software lifecycle.
• Work on cloud-native architecture, CI/CD pipelines, frontend and backend development.
• Apply security-minded design and automated testing practices.
• Explore GenAI-assisted development workflows and emerging tech.

Skills

Team collaboration

Clear communication

Ambiguity handling

Initiative

Tools

React

FastAPI

Express.js

Spring

Django

AWS

GCP

Azure

PostgreSQL

DynamoDB

Docker

Terraform

Git

CI/CD

SAST/DAST

Test automation

Kinesis/SQS

Job description

Housing & Development Board is seeking engineers to deliver high-impact digital products from design to live operations. You will join a cross-functional team and contribute across the full software lifecycle, including cloud-native architecture, CI/CD pipelines, frontend and backend development, resilience engineering, and test automation.

GenAI-assisted workflows may be explored as we evolve development practices.