Cloud Technical Solutions Engineer, AI/ML

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:

• Manage customer problem through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products, specifically AI/ML products on Google Cloud Platform.
• Develop an in-depth understanding of Googles product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, and building tools for faster diagnosis.
• Act as a consultant and subject matter expert 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/consultants that globally ensure 24 hour customer support.
• Understand customer issues and advocate for their needs with cross-functional teams, including product and engineering teams, to find ways to improve the product, and drive high-quality production.

Minimum qualifications:

• Bachelors degree in Science, Technology, Engineering, Math or equivalent experience in technical support, professional services, software development or equivalent practical experience.
• 4 years of experience coding in a general purpose coding language or in system design, and troubleshooting and triaging technical issues.
• 4 years of experience with 2 of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
• Experience advocating for customer issues.

Preferred qualifications:

• Experience with distributed, columnar or analytic oriented databases or distributed data processing frameworks.
• Experience with AI/ML tools and usage of models that are readily available to meet business needs.
• Experience with machine learning technologies (e.g., TensorFlow), developing or training models or implementing solutions that evoke such models.
• Experience in data analytics, warehousing, ETL development, data science or other Big Data applications.
• Understanding of web technologies.
• Understanding of TCP/IP concepts, Unix/Linux basic administration and commands, from Kernel to Shell, file systems, and client-server protocols.

Benefits: 

• Health and Wellbeing (Medical, dental, and vision insurance for employees and dependents)
• Financial wellbeing (Competitive compensation, regular bonus and equity refresh opportunities)
• Flexibility and time off (Paid time off, including vacation, bereavement, jury duty, sick leave, parental leave, disability, and holidays)
• Family support and care (Fertility and growing family support, parental leave and baby bonding leave)
• Community and personal development (Educational reimbursement)
• Googley extras (Inspiring spaces to work, recharge, and collaborate with fellow Googlers)