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Technical Solutions Engineer II, Infrastructure, Compute, Google Cloud

Google
Kirkland, USA
Senior · 9+ years experience
Onsite
USD 150000-217000 / year
Discovered 2 weeks ago
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Full Job Posting

Responsibilities

  • Manage the customer’s problem through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products.
  • 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.
  • 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 closely with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive high-quality production. Understand customer issues and advocate for their needs with cross-functional teams.
  • Be available for non-standard work hours or shifts which may include weekends as needed.

Minimum qualifications:

  • Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 9 years of experience troubleshooting and advocating for customer needs, or triaging technical issues (e.g., hardware, software, application, operational, process).
  • Experience with computer networking and web technologies (HTTP, HTML, DNS, etc.).
  • Experience in system administration for Linux/Unix or operating 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 Cloud accelerators troubleshooting (GPU, TPU, etc.).
  • Experience with cloud computing (i.e., certifications, internships, coursework, etc.).
  • Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices.
  • Experience with any of the following solutions: system virtualization, on-premise or hybrid cloud computing.

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