The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You assist the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
Responsibilities
- Collaborate with clients to understand their objectives and issues, identify technical gaps, and surface opportunities for solution reuse or innovations.
- Design and implement solutions that meet client needs and are compliant with data and legal policies.
- Master the nuances of clients within the industry and develop subject matter expertise in trending spaces.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
- 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
- Experience troubleshooting technical issues for internal/external partners or customers.
Preferred qualifications:
- Master’s degree in Engineering, Computer Science, Business, or a related field.
- Experience in an analytical role such as business intelligence, data analytics, or statistics.
- Experience working with database technologies (e.g., SQL, NoSQL).
- Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
- Experience using Machine Learning and building solutions.
- Experience working with systems (e.g., Linux, Unix).