
Principal Platform Engineer -AVP
- Hangzhou, Zhejiang
- Permanent
- Full-time
- Lead a small agile team to deliver highly effective platform solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving platform solution and technology best practices.
- Adopt various modern AI tools to design and develop platform solution and disrupt traditional software development approach and improve productivity.
- Develop, train, and mentor junior platform engineers, ensure their continuous growth and development, and foster a high-performance team culture.
- Responsible for platform infrastructure design, coding, unit test, and integration.
- Support quality assurance test, user acceptance test, and bug fixes.
- Design and implement robust continuous integration and continuous deployment solution.
- Configure development infrastructure environment and manage software releases.
- Support production issue and implement on-going enhancements
- Master’s degree required in computer science or in related fields.
- 5+ years of experience in infrastructure as code programming using Terraform in public cloud environment like Azure or AWS and familiar with foundational AI and GenAI/LLM, Azure Active Directory based service principals, and managed identities provision automation.
- 8+ years of public cloud and/or private cloud software engineering, DevOps, MLOps experience.
- 8+ years of modern containerized, object-oriented or script programming experience like Python, Java, Shell and etc.
- 5+ years of experience in microservice architecture and implementation based on main-stream technologies such as Kubernetes, Docker, Spring Cloud, gRPC/thrift, etc.
- Familiar with structured and unstructured data storage and management systems like Snowflake, Databricks, PostgreSQL, and various vectorized databases.
- Familiar with source code management e.g. GitHub and CI/CD best practices to support concurrent development and release for multiple global teams.
- Highly self-motivated with can-do attitude and willing to learn new things.
- Prior enterprise level high performing computing and/or real time system experience.
- Platform engineering experience in medium or large size asset management company.
- Prior GenAI/LLM, Azure ML, Amazon Web Service (AWS) or alike experience
- Data Science and Machine Learning Frameworks (LLMs like ChatGPT/Llama/Mistral/Claude, TensorFlow, Scikit-learn, Apache Spark / MLlib, etc.)