Guide the development and enhancement of major cloud systems and AI technologies for big business use. Push forward with new tech ideas, support and direct your team, and collaborate with various departments.
Requirements
- 5+ years' experience building large-scale, low-latency distributed systems and cloud platforms.
- Advanced skills in backend programming (e.g. Go, Java, Python, C++) and distributed data technologies (e.g. PubSub, Kubernetes, Redis).
- Knowledge with cloud services (AWS/GCP), databases (SQL/NoSQL), and test-driven development.
- Hands-on work with GenAI, LLMs, Prompt Engineering, and/or MLOps with experience building AI-oriented products.
- Deep problem-solving and performance optimization skills; ability to work collaboratively across teams.
- Exemplary communication and technical leadership abilities.
Responsibilities
- Build fault-tolerant, horizontally scalable solutions in multi-tenant distributed cloud environments.
- Drive the architecture and implementation of backend and full-stack systems using modern programming languages such as Go, Java, Python, or C++.
- Develop and deploy AI native applications and multi-modal solutions, leveraging state-of-the-art models, tools, and frameworks (e.g., GenAI, LLMs, LangChain).
- Integrate AI into existing systems and propose AI-enhanced solutions to a variety of business challenges.
- Research, design, and build highly reliable and scalable platforms covering API design, model serving, and cloud infrastructure.
- Lead code reviews, system optimization, and technical documentation efforts.
- Mentor junior engineers and foster best practices in software architecture, coding standards, and DevOps.
Other
- Self-motivated, accountable, and results-oriented with a “can-do” attitude.
- Hungry for new challenges, fast learning, and continuous improvement in distributed and AI engineering.
- Comfortable working in dynamic, high-growth environments that demand technical agility and rigor.
- Exemplary communication and technical leadership abilities.
- BS/MS/PhD in Computer Science or Engineering or equivalent experience.
