Customer Engineer

Google based in Toronto, ON, Canada; Montreal, QC, Canada is inviting applications from suitable candidates for the position of Customer Engineer. Google showcases the company’s innovative prowess in the heart of Canada’s tech landscape. Focused on fostering technological advancement, Google’s offices in these cities serve as hotspots for research and development, collaborating closely with local universities and startups. We contribute to Google’s global initiatives while nurturing local talent and ideas. Through partnerships and cutting-edge projects, these Canadian hubs reinforce Google’s commitment to shaping the future of technology and its seamless integration into daily life. The candidates selected for the vacancy will be required to start the work as soon as possible.

Job Description:

Employer Name: Google
Position: Customer Engineer
No of Vacancies: 1
Salary: Salary is not mentioned, $25.00-$30.00 hourly estimated salary
Location: Toronto, ON, Canada; Montreal, QC, Canada
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Toronto, ON, Canada; Montreal, QC, Canada


Languages: Candidates must have knowledge of the English Language
Education: Candidates should have a Bachelor’s degree in Computer Science or equivalent practical experience
Experience: Candidates should have a minimum of 5 years of experience as a sales engineer or technical consultant in a cloud computing environment or customer-facing role

Other Requirements:

  • The candidates should have a demonstrated track record of experience in delivering technical presentations and live demonstrations in an enterprise business environment
  • The candidates should also possess experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB)
  • The candidates should have experience with technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data
  • The candidates should have experience in developing software or infrastructure for scalable, distributed systems
  • The candidates should possess experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks)
  • The candidates should have knowledge of cloud computing (e.g., infrastructure, storage, platforms, and data), cloud market trends, competitive dynamics, and customer buying behavior


  • The candidates should be able to build advisory relationships and develop integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution, providing best practice advice to optimize Google Cloud effectiveness
  • The candidates should be able to work with cross-functional partners to identify and qualify leads and opportunities
  • The candidates should be able to advance the relationship with our partners, empowering them to drive a pilot or proof of concept. Support driving toward customer acceptance of the technical proposal, leading to a commercial proposal and eventual agreement. Work with partners during the migration phase to assure they have the tools necessary to deliver deployment
  • The candidates should be able to secure or influence technical wins and remove technical barriers with limited precedent to client wins, orchestrating additional resources to expand books and meet business goals
  • The candidates should be able to develop integration and migration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution on Google Cloud

How to apply:

If the position is fit for you and the basic requirements are fulfilled then you can now apply directly to the employer (along with your resume) through the below-mentioned details.

Apply Online




We thank all the applicants for showing their interest and trust in us, however, only the most eligible candidates will be selected, and conducted for further procedure directly from employers, in between no charges/fees or original documents will be asked from any applicant. All the best!

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