Customer Engineer | Google Career | Job Opportunities | Latest Jobs 2021

Google Careers

Customer Engineer | Google Career | Job Opportunities | Latest Jobs 2021

About Company

Gооgle, in full Gооgle LLC fоrmerly Gооgle Inс. (1998–2017), is an American search engine company founded in 1998 by Sergey Brin and Larry Page and owned by Alphabet Inc. It handles more than 70% of all global online search requests, putting it at the centre of most Internet users’ experiences. The company’s headquarters are in Mountain View, California.

It began as an online search engine, but it now provides more than 50 Internet services and products, ranging from e-mail and online document creation to software for mobile phones and tablets. In addition, the acquisition of Mоtоrоlа Mоbility in 2012 put it in a position to sell hardware in the form of mobile phones.

Job Description

With cloud-based technologies, the Cloud Platform team helps customers transform and build what’s next for their businesses. Our products are built for security, scalability, and reliability, and they cover the entire stack from infrastructure to apps to devices to hardware. Our teams are committed to assisting developers, small and large organisations, educational institutions, and government agencies in realising the benefits of our technology.

You will play a significant role in understanding our clients’ needs as part of an entrepreneurial team in this quickly developing organisation, and you will help shape the future of how businesses of all sizes utilise technology to communicate with customers, employees, and partners.



As a Customer Engineer, you’ll assist Cloud customers in becoming more productive, mobile, and collaborative. You’ll help others by resolving major technical challenges for our customers, and you’ll collaborate with the Product Marketing Management and Engineering teams to keep on top of industry trends and develop Google Cloud product innovations.

Google Cloud offers industry-leading infrastructure, platform capabilities, and industry solutions to businesses. We provide enterprise-grade cloud solutions that take advantage of its cutting-edge technology to help businesses run more efficiently and adapt to changing needs, laying the groundwork for the future. Customers in more than 150 countries rely on Cloud to help them address their most pressing business issues.

  • Work closely with small and medium-sized business (SMB) and Sales Development to explore opportunities from the technical perspective and collaboratively qualify opportunities.
  • Take responsibility for technical aspects of solutions to include such activities as managing product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
  • Prepare and deliver product messaging in an effort to highlight Google Cloud value proposition using techniques to include whiteboard and slide presentations, product demonstrations, white papers, trial management, and documents.
  • Make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness.
  • Minimum qualifications:
    • Experience serving in the capacity of a technical sales engineer in a cloud computing environment or equivalent experience in a customer-facing role.
    • Experience with cloud computing concepts (e.g., Big Data, Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) technologies).
    • Experience with presenting and delivering technical pitches.
  • Preferred qualifications:
    • Bachelor’s or Master’s degree in Computer Science, or a related technical field, or equivalent experience.
    • Experience with WAN/Internet-related technologies and architectures across SaaS, PaaS, IaaS, and cloud productivity suites.
    • Experience with the architecture and operational aspects of large-scale distributed systems and with technologies in the machine learning/big data ecosystem (e.g., TensorFlow, Spark).
    • Experience using and/or managing databases (e.g., MapReduce, Hadoop, Spark, Flume, Hive, Impala, Spark SQL, and/or BigQuery).
    • Excellent written and verbal communication and presentation skills.

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