Technical Solutions Engineer, Platform in Paris, France

vacanciesin.eu

Google welcomes people with disabilities.

Minimum qualifications:

  • Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

  • Typically 4 years of experience coding in a general purpose language or in system design, troubleshooting and advocating for customers’ needs, and triaging technical issues.

  • Typically 4 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.

Preferred qualifications:

  • Candidates will typically have 4 years of experience in technical consulting on supporting large enterprise customers with high service-level objective and service-level agreement requirements.

  • Experience with cloud computing (e.g., certifications, internships, coursework, etc.).

The Google Cloud Platform team helps customers transform and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees, and partners.

  • File issue reports against product, documentation, and procedures by documenting desired behavior and/or steps to reproduce, and driving bugs to resolution.

  • Suggest code-level resolutions for complex product bugs by leveraging relevant tools and effective communication to all stakeholders internally and externally.

  • Resolve technical incidents and escalations by performing analysis utilizing relevant tools (e.g., SQL, R, Python), leveraging custom data infrastructure or existing data models as appropriate, and formulating and interpreting data to reach specific conclusions and next steps.

  • Identify opportunities and build solutions to improve support or empower customers to solve issues by using self-service tools and documentation.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.








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