Cloud Technical Solutions Engineer, AI/ML (English) Full-time

Minimum qualifications:

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 4 years of experience reading code in a general purpose coding language (e.g., Java, C, C , Python, Shell, Go or JavaScript, etc.) or in system design.
• Experience with Linux/Unix or Windows systems, from the kernel to the shell, file systems, and client-server protocols.
• Experience in reading/debugging code and in virtualization and orchestration frameworks.
• Ability to communicate fluently in English to communicate with different customers and stakeholders.

Preferred qualifications:

• Experience debugging workload issues across multi-node environments.
• Experience with exploratory kernel debugging and performance analysis of containerized systems.
• Experience working with public cloud services and infrastructure.
• Experience in Computer Networking (e.g., TCP/IP, Routing, Load balancing, etc.), with knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale.
• Develop an understanding of Google Cloud’s product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.
• Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Work as part of a team of engineers/consultants that globally ensure 24-hour customer support, including working non-standard work hours/shifts, and may include weekend work.
• Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, and drive production.