Technical Solutions Engineer, Networking, Google

hace 3 semanas

Ciudad de México CDMX Google A tiempo completo

**Minimum qualifications**:

- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 4 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design.

**Preferred qualifications**:

- 4 years of experience in technical consulting on supporting enterprise customers with service-level objective and service-level agreement requirements.
- Experience using techniques such as packet capture/packet analysis, artificial packet creation, load testing, and traffic path analysis to troubleshoot network latency, packet loss, and other performance issues at the packet level.
- Experience in designing and implementing live media or video on demand workflows.
- Experience in System/network administrator level knowledge of Linux/Unix or Windows systems.
- Knowledge of networking fundamentals (Load Balancing, Cloud Storage, Peering, TCP\IP etc.).
- Knowledge of basic web technologies (HTTP, HTML, DNS, TCP, etc.).

About the job
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.

**Responsibilities**:

- File issue reports against product, documentation and procedures by documenting desired behavior or steps to reproduce, and driving bugs to resolution.
- Suggest code-level resolutions for 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) and 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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

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