Full Stack Engineer - AI Coding

About the role

This role builds and maintains full-stack features for intelligent data center platforms, working with product, AI and project teams to deliver stable, user-friendly features and customer solutions.

Key responsibilities

• Develop and maintain full-stack features: 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.
• Support project deployment, system integration, data onboarding, testing and troubleshooting.
• Leverage AI coding tools to improve development efficiency while keeping code quality, testing and maintainability high.
• Take part in code reviews, technical design, documentation and continuous platform improvement.

Required profile

• Bachelor's degree in Computer Science or a related field.
• 1+ years of software development experience (Software Engineer) or 3+ years (Senior Software Engineer).
• Strong Python skills with FastAPI, Django or Flask.
• Solid frontend experience with React, Next.js, TypeScript, HTML/CSS.
• Familiarity 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.