Practice Customer Engineer, Google Cloud
Google · Shanghai, China | Beijing, China
About this role
Google is hiring a mid-level Professional Services Consultant based in Shanghai, China | Beijing, China. The posting calls out experience with TensorFlow, PyTorch, Distributed Systems, Observability and roughly 6+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Professional Services Consultant
- Function
- services
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Shanghai, China | Beijing, China
- Experience
- 6+ years
- Education
- Bachelor's degree
- Posted
- Jan 27, 2026
More roles at Google
Job description
from Google careersThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Customer Engineer specializing in Cloud Platform, you will partner with technical Sales teams to differentiate Google Cloud by demonstrating how to build, tune, and deploy the systems. You will serve as a technical expert responsible for the full life-cycle of Cloud Engineering, from advanced model evaluation to deployment strategies. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend sales and market knowledge, and engineering capability to help customers move from notebook experimentation to deployed, inference endpoints.