Assist customers as they adopt generative AI and new AI-powered experiences across the GCP portfolio, and ensure they have a smooth experience using the platform, tools, and solutions.
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.
Work with key customers on their production deployments to resolve issues and achieve product readiness availability and scale using GCP Generative AI and AI/ML products making an impact on the customers business.
Act as consultant and SME for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
Work as part of team of engineers/consultants that globally ensure customer support, including working non-standard work hour/shift and may include weekend work.
Minimum qualifications:
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
4 years of experience reading/debugging code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design and in virtualization and orchestration frameworks.
Experience with Linux/Unix or similar systems, from the kernel to the shell, file systems, and client-server protocols.
Experience troubleshooting and resolving technical issues in an application tech stack including AI/ML.
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.
