Technical Solutions Engineer II, Infrastructure, Serverless, Google Cloud

Work as part of a team of engineers or consultants that globally ensure 24-hour customer support.
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.
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 with customers on their production serverless deployments and CICD deployments to resolve issues and achieve product readiness, availability, and scale.
Develop an understanding of Google Cloud's Serverless product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis.

Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
2 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
2 years of experience in reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.

2 years of experience in technical consulting or supporting large enterprise customers with high Service-Level Agreement (SLA) requirements.
2 years of experience with web technologies, system or software architecture, Application Programming Interface (API) design and scalability, DevOps, and networking.
Experience with cloud computing through certifications, internships, or coursework, and debugging workload issues across multi-node environments.
Experience in computer networking, routing, load balancing, and with the Kubernetes framework.
Experience working with public cloud services and infrastructure.
Experience troubleshooting client-server architecture, including performing latency and packet capture analysis from serverless workloads to various egress components such as databases and storage.

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