Customer Solutions Engineer, Compute and Google Kubernetes Engine

The Google Cloud Support team is dedicated to ensuring our customers get the most out of their Google Cloud investment

• Work with customers on their production of Google Kubernetes Engine (GKE)/Anthos deployments to resolve issues and achieve product readiness, availability, and scale
• Develop an understanding of Google Cloud's product technology, Compute, GKE/Anthos, and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis
• Advocate for the customer, collaborating with engineering and product teams to drive continuous improvement in our products and services
• Troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting

• Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, Computer Science, Electrical Engineering, or equivalent practical experience
• Experience writing/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.)
• Experience with computer networking and web technologies (HTTP, HTML, DNS, etc.)
• Experience in virtualization and orchestration frameworks
• System administrator level experience with Linux/Unix or operating systems

• Advocate for the customer, collaborating with engineering and product teams to drive continuous improvement in our products and services
• Troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting
• Work with customers on their production of Google Kubernetes Engine (GKE)/Anthos deployments to resolve issues and achieve product readiness, availability, and scale
• Develop an understanding of Google Cloud's product technology, Compute, GKE/Anthos, and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis

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