Full Stack / Software Engineer

Red Dot Analytics Pte Ltd; Singapore; Hybrid; SGD 70,000 - 110,000; Full time

Job summary

Red Dot Analytics Pte Ltd is seeking a Full Stack / Software Engineer to develop across front-end, back-end, and data interfaces for our digital twin and infrastructure intelligence platform. You will contribute to core platform functionality while supporting real customer projects, including systems integration and deployment.

You will use React, Next.js, and TypeScript for frontend, Python for backend, and work with AI coding tools to enhance productivity while ensuring code quality.

Qualifications

• Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
• At least 2 years of software development experience (5+ years for Senior, with some solution design or technical leadership).
• Strong Python and familiarity with a web framework such as FastAPI, Django, or Flask.
• Solid front-end experience with React, Next.js, TypeScript, and HTML/CSS.
• Familiarity with SQL/NoSQL databases, Docker, basic Kubernetes, CI/CD, and Git workflows.
• Ability to use AI coding tools effectively and to review, test, and improve AI-generated output.

Responsibilities

• Build back-end services, APIs, business logic, and data processing workflows for our data centre intelligence, digital twin, and optimisation platforms
• Develop front-end features, data dashboards, and configuration and operation interfaces with React, Next.js, and TypeScript
• Support deployment, data onboarding, and integration with on-site systems such as BMS/DCIM, third-party platforms, and RESTful APIs on customer projects
• Use AI coding tools effectively for code generation, refactoring, testing, and documentation while safeguarding code quality
• Participate in code reviews, technical design discussions, and engineering-quality practices

Skills

Python

FastAPI

Django

Flask

React

Next.js

TypeScript

HTML/CSS

SQL

NoSQL

Docker

Kubernetes

CI/CD

Git workflows

AI coding tools

Education

Bachelor's degree in Computer Science/Software Engineering or related field

Tools

Docker

Kubernetes

Terraform or similar IaC

Git

Job description

Build front-end, back-end, and data-interface features for our digital twin and infrastructure intelligence platform, while supporting real customer deployments.

We are hiring a Full Stack / Software Engineer to work across front-end, back-end, data interface, and delivery development for our platform products. You will contribute to core platform functionality while supporting real customer projects, including systems integration, deployment, and troubleshooting. Strong software engineering fundamentals matter most, with AI coding tools (Claude Code, Codex, Copilot) used to improve day-to-day productivity.

What you will do

• Build back-end services, APIs, business logic, and data processing workflows for our data centre intelligence, digital twin, and optimisation platforms
• Develop front-end features, data dashboards, and configuration and operation interfaces with React, Next.js, and TypeScript
• Support deployment, data onboarding, and integration with on-site systems such as BMS/DCIM, third-party platforms, and RESTful APIs on customer projects
• Use AI coding tools effectively for code generation, refactoring, testing, and documentation while safeguarding code quality
• Participate in code reviews, technical design discussions, and engineering-quality practices

What we are looking for

• Bachelor's degree or above in Computer Science, Software Engineering, or a related field
• At least 2 years of software development experience (5+ years for Senior, with some solution design or technical leadership)
• Strong Python and familiarity with a web framework such as FastAPI, Django, or Flask
• Solid front-end experience with React, Next.js, TypeScript, and HTML/CSS
• Familiarity with SQL/NoSQL databases, Docker, basic Kubernetes, CI/CD, and Git workflows
• Ability to use AI coding tools effectively and to review, test, and improve AI-generated output

Nice to have

• Experience with Kubernetes, Helm, Terraform, Ansible, GitOps, or cloud platforms (AWS, GCP, Azure)
• Familiarity with time-series databases, data ingestion, or observability systems
• Background in data centres, industrial IoT, BMS/DCIM, or simulation platforms