Customer Engineer, Google Cloud (English, Korean)

Google · Seoul, South Korea

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 1 year of experience with cloud native architecture and development methodologies in a customer-facing or support role.
  • Experience with one or more programming languages.
  • Experience in delivering technical presentations.
  • Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions with local stakeholders.

Preferred qualifications:

  • 3 years of experience with cloud native architecture and development methodologies in a customer-facing or support role.
  • Experience developing programs/scripts in Python, Java, C++, SQL and architecture, and developing software for distributed systems.
  • Experience building or troubleshooting websites or web applications using web technologies (e.g., HTTPS, JavaScript, APIs, TCP/IP, DNS).
  • Experience in the technology industry.
  • Knowledge of public cloud platforms and technical concepts such as AI, Big Data, PaaS, SaaS, IaaS, and related industry topics.
  • Ability to lead architecture discussions and influence decision makers around deployment topologies and performance.
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