Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
2 years of experience coding in a general purpose language or system design, troubleshooting/advocating for customers needs, and triaging technical issues.
2 years of experience with two or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
Ability to communicate in English fluently as this is a customer-facing role that requires interactions in English with local stakeholders.
Optional
Experience with exploratory kernel debugging and performance analysis of containerized systems.
Experience working with any public cloud (e.g., Google Cloud Platform) services and infrastructure.
Experience debugging workload issues across multi-node environments.
Experience in Computer Networking (e.g., TCP/IP, Routing, Load balancing, etc.).
Knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
Your responsibilities
Work with customers on their production Serverless deployments to resolve issues and achieve product readiness, availability, and scale.
Develop an understanding of Serverless product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.
Consult with internal stakeholders in engineering, business, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
Work as part of a team of engineers/consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work.
Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
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Published
29 days ago
Expires
in 15 days
Work mode
hybrid
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