Full Stack Engineer
Summary
Builds full-stack features for intelligent data-center platforms using Python (FastAPI/Django), React/Next.js, and cloud-native tools, while integrating AI coding assistants into daily workflows.
- 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.
- 2+ years (Software Engineer) or 5+ 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.