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Technical Solutions Engineer, Infrastructure, Compute, Google Cloud

Google
Sunnyvale, USA
Mid · 5+ years experience
Onsite
USD 126000-180000 / year
Discovered 3 weeks ago
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Full Job Posting

Responsibilities

  • Work within a team of engineers/consultants that globally ensure 24-hour customer support.
  • Manage the customer’s problem through effective diagnosis, resolution, or investigation tools implementation to increase productivity for customer issues on Google Cloud Platform products.
  • Act as a consultant and subject matter expert for Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
  • Develop an understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
  • Work closely with Product and Engineering teams to improve the product, and interact with Site Reliability Engineering teams to drive high-quality production while understanding customer issues to advocate their needs with cross-functional teams.
  • - Work within a team of engineers/consultants that globally ensure 24-hour customer support. - Manage the customer’s problem through effective diagnosis, resolution, or investigation tools implementation to increase productivity for customer issues on Google Cloud Platform products. - Act as a consultant and subject matter expert for Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. - Develop an understanding of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis. - Work closely with Product and Engineering teams to improve the product, and interact with Site Reliability Engineering teams to drive high-quality production while understanding customer issues to advocate their needs with cross-functional teams.

Minimum qualifications:

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

5 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process).

5 years of experience with computer networking and web technologies (e.g., HTTP, HTML, DNS, etc.).

Experience as a system administrator with Linux/Unix, or Windows systems.

Experience with one or more core programming or scripting languages (e.g., C, C++, C#, Java, Python, JavaScript, PowerShell, Bash, Shell, Perl, Visual Basic).

Preferred qualifications:

  • Experience with any of the following solutions: System virtualization, on-premise or hybrid cloud computing.
  • Experience with cloud computing (e.g., certifications, internships, coursework, etc.) and debugging complex workload issues across large-scale, multi-node environments.
  • Experience using or integrating AI/LLMs (such as Gemini) into daily engineering or troubleshooting workflows.
  • Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices.

Qualifications

  • Minimum qualifications: - Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. - 5 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process). - 5 years of experience with computer networking and web technologies (e.g., HTTP, HTML, DNS, etc.). - Experience as a system administrator with Linux/Unix, or Windows systems. - Experience with one or more core programming or scripting languages (e.g., C, C++, C#, Java, Python, JavaScript, PowerShell, Bash, Shell, Perl, Visual Basic). Preferred qualifications: - Experience with any of the following solutions: System virtualization, on-premise or hybrid cloud computing. - Experience with cloud computing (e.g., certifications, internships, coursework, etc.) and debugging complex workload issues across large-scale, multi-node environments. - Experience using or integrating AI/LLMs (such as Gemini) into daily engineering or troubleshooting workflows. - Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices.

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