Technical Solutions Engineer, Cloud AI

3 days ago

Bengaluru, Karnataka, India Google Full time
info_outlineXThis role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.
Minimum qualifications:
  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 5 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.
  • Experience with Linux/Unix systems, from the kernel to the shell, file systems, and client-server protocols.
  • Experience in debugging code, and in virtualization and orchestration frameworks.
  • Experience with deep learning frameworks (e.g., TensorFlow, pyTorch, XGBoost).
  • Ability to communicate in English fluently to communicate with different customers and stakeholders.
Preferred qualifications:
  • Experience debugging workload issues across multi-node environments.
  • Experience with exploratory kernel debugging and performance analysis of containerized systems.
  • Experience working with public cloud services and infrastructure.
  • Experience in computer networking (e.g., TCP/IP, routing, load balancing, etc.).
  • Knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).


About the job

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 developed 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.

Our Technical Solutions Engineers own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.

In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. You will help drive the success of Google Cloud by understanding and advocating for our customers issues.

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
  • Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale.
  • Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.
  • Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
  • Work as part of a team of engineers/consultants that globally ensure 24-hour customer support.
  • Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, and drive production.

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