Full Stack Engineer - AI Coding

NEXadept; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

NEXadept is hiring a software engineer to develop and maintain full-stack features for intelligent data center platforms. You’ll work on backend services, APIs, dashboards, and system integrations, with a focus on scalable data processing and secure authentication.

You will collaborate with product and AI teams to deliver robust, user-friendly solutions, support deployments, and participate in code reviews to ensure code quality and maintainability across the platform.

Qualifications

• Bachelor’s degree in Computer Science or a related field.
• 1+ years (Software Engineer) or 3+ years (Senior Software Engineer) of software development experience.
• Strong Python skills with FastAPI, Django, or Flask.
• Solid frontend experience with React, Next.js, TypeScript, HTML/CSS.
• Familiar with SQL databases (PostgreSQL/MySQL), Docker, Git, CI/CD, and basic Kubernetes.
• Good software engineering practices with strong debugging, testing, and problem-solving skills.
• Experience using AI coding tools (e.g. Cursor, GitHub Copilot, Claude Code) in daily development.
• Strong communication and teamwork skills.

Responsibilities

• Develop and maintain full-stack features for intelligent data center platforms, including backend services, APIs, front-end interfaces, dashboards, and system integrations.
• Build scalable platform capabilities such as data processing, database design, authentication, scheduling, logging, and monitoring.
• Collaborate with product, AI, and project teams to deliver stable, user-friendly features and customer solutions.
• Support project deployment, system integration, data onboarding, testing, and troubleshooting.
• Leverage AI coding tools to improve development efficiency while ensuring code quality, testing, and maintainability.
• Participate in code reviews, technical design, documentation, and continuous platform improvement.

Skills

Python

Front-end development

React/Next.js

TypeScript

HTML/CSS

SQL databases

Docker

Git

CI/CD

Kubernetes

RESTful APIs

AI coding tools

Education

Bachelor's degree in Computer Science or related field

Tools

FastAPI

Django

Flask

PostgreSQL/MySQL

Terraform

Helm

AWS/GCP/Azure

Observability tooling

Job description

• Develop and maintain full-stack features for intelligent data center platforms, including backend services, APIs, front-end interfaces, dashboards, and system integrations.
• Build scalable platform capabilities such as data processing, database design, authentication, scheduling, logging, and monitoring.
• Collaborate with product, AI, and project teams to deliver stable, user-friendly features and customer solutions.
• Support project deployment, system integration, data onboarding, testing, and troubleshooting.
• Leverage AI coding tools to improve development efficiency while ensuring code quality, testing, and maintainability.
• Participate in code reviews, technical design, documentation, and continuous platform improvement.

Requirements

• Bachelor's degree in Computer Science or a related field.
• 1+ years (Software Engineer) or 3+ years (Senior Software Engineer) of software development experience.
• Strong Python skills with FastAPI, Django, or Flask.
• Solid frontend experience with React, Next.js, TypeScript, HTML/CSS.
• Familiar with SQL databases (PostgreSQL/MySQL), Docker, Git, CI/CD, and basic Kubernetes.
• Good software engineering practices with strong debugging, testing, and problem-solving skills.
• Experience using AI coding tools (e.g. Cursor, GitHub Copilot, Claude Code) in daily development.
• Strong communication and teamwork skills.

Preferred Qualifications

• Experience with Kubernetes, cloud platforms (AWS/GCP/Azure), or Infrastructure as Code (Terraform, Helm).
• Familiarity with time-series databases, streaming data, or observability systems.
• Experience in data centers, Industrial IoT, BMS/DCIM, or enterprise SaaS platforms.
• Knowledge of RESTful APIs, authentication, multi-tenant systems, or system integration.
• Experience with AI-assisted engineering, technical documentation, customer-facing projects, or rapid prototyping.