23 days ago

Technical Solutions Engineer Cloud AI

Google

On Site
Full Time
$150,000
Sunnyvale, CA
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Job Overview

Job TitleTechnical Solutions Engineer Cloud AI
Job TypeFull Time
Offered Salary$150,000
LocationSunnyvale, CA

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Job Description

About The Job

The 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 Technical Solutions Engineer, you will own important customer issues and provide level two support to other support teams. In this role, you will be part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. You will troubleshoot technical problems for customers using a mix of debugging, networking, system administration, updating documentation, and when needed, coding or scripting. You will make products easier to adopt and use by making improvements to the product, tools, processes, and documentation. As the Technical Solutions team is driven by customers, you will help drive the success of Google Cloud by understanding and advocating for customers’ issues. 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

  • 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.

Key skills/competency

  • Technical Solutions Engineer
  • Cloud AI
  • Google Cloud Platform
  • Machine Learning
  • Python
  • Debugging
  • Networking
  • System Administration
  • Customer Support
  • Problem Solving

Tags:

Technical Solutions Engineer
Cloud AI
Google Cloud
Machine Learning
Python
Kubernetes
Networking
System Administration
Customer Support
Troubleshooting
AI Model Training
Data Warehousing
TensorFlow
PyTorch
Google

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How to Get Hired at Google

  • Tailor your resume: Highlight experience in web technologies, data, ML, and cloud services relevant to Google Cloud AI.
  • Showcase coding skills: Emphasize proficiency in Python, Java, Go, C, or C++ with data structures and algorithms.
  • Demonstrate ML expertise: Detail experience with AI model training, performance analysis, and integration.
  • Prepare for technical interviews: Be ready to discuss networking, web technologies, AI concepts, and troubleshooting scenarios.
  • Highlight collaboration: Showcase experience working with internal teams and external customers.

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