Chabez Tech
Sr. Lead Engineer (Full Stack Developer)
TLDR
Own end-to-end system delivery for a distributed AI platform, from architecture to production, while optimizing AI inference and latency.
Sr. Lead Engineer (Full Stack Developer)
Seoul, South Korea
Responsibilities
- Own end-to-end system delivery, from architecture and data modeling through to production deployment, scaling, and long-term operation
- Define and evolve the core platform architecture, ensuring scalability, performance, and maintainability across a distributed AI system
- Refactor and reshape critical parts of the stack where needed to meet production-grade standards and scale requirements
- Set and enforce engineering standards, leading code reviews and driving technical excellence across the team
- Lead AI inference optimization and latency reduction efforts, ensuring high-performance, real-time user experiences across AI-driven services
Qualifications
- 7+ years of software engineering experience, with full lifecycle ownership (architecture, development, deployment, production operations)
- Strong proficiency in Python (Flask, FastAPI, or Litestar) and backend development
- Experience with cloud platforms (AWS, GCP, or Azure), Docker, and production system deployment
- Strong understanding of distributed systems, client-server architecture, and real-time protocols (WebSockets and/or SSE), including complex integrations across Web, Unity, and AI modules
- Experience with databases and data modeling (PostgreSQL, MySQL, MongoDB, Redis, Memcached), including scalable schema design
- Exposure to frontend technologies (React, or Svelte, or WebAssembly)
Nice to have
- Experience with AI service integration and inference optimization, focusing on latency reduction and performance in production environments
- Strong communication skills with ability to lead technical discussions and align engineering decisions across teams
All your information will be kept confidential according to EEO guidelines.
Chabez Tech builds scalable, cloud-native data engineering and AI products that empower organizations to transform their data ecosystems. We work with enterprises across various industries to create robust data platforms and enhance operational efficiency, making data-driven excellence achievable.
Full-Stack Engineer