Collaborate with customers on ML deployments to resolve issues and achieve production, availability, and scale while partnering with product and engineering teams to improve products based on customer feedback.

Manage customer problems through effective diagnosis, resolution, documentation, or implementation of investigation tools to increase productivity for customer issues on Google Cloud Platform products.

Develop an understanding of Google Cloud’s AI and ML products or solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues and building tools for faster diagnosis.

Serve as a consultant and SME for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.

Work as part of a team of engineers or consultants that ensure 24-hour customer support, including working non-standard work hours or shifts and possibly including weekends.

Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

6 years of experience with two or more of the following: web technology, data/big data, systems administration, machine learning, networking, kubernetes.

Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C, or C++) including data structures and algorithms, and software design.

Experience with AI model training, performance analysis, and integration with other cloud services supporting customer projects to completion.

Experience in computer networking (e.g., firewalls, routing, load balancing, etc.), web technologies (e.g., HTTP, HTML, DNS, TCP, etc.), and AI concepts and techniques.