Cloud Consultant, Professional Services, Google Cloud (English)

Google · Beijing, China

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud Engineer, you will design and implement solutions for customer use cases, leveraging core Google products including TensorFlow and DataFlow. You will work with customers, travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

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 in Computer Science or equivalent practical experience.
  • 6 years of experience designing cloud enterprise solutions and supporting customer projects to completion.
  • Experience designing cloud enterprise solutions and supporting customer projects to completion.
  • Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including software design.
  • Ability to communicate fluently in English to co-work with cross-regional engineering team.

Preferred qualifications:

  • Experience working with recommendation engines and data pipelines.
  • Experience with frameworks such as Tensorflow, pyTorch, XGBoost.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g. Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
  • Understanding of the auxiliary practical concerns.
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