Technical Solutions Engineer, Data, Google Cloud

2 Days ago • 4 Years + • DevOps

Job Summary

Job Description

As a Technical Solutions Engineer, Data, Google Cloud, you'll troubleshoot technical problems for customers, combining debugging, networking, system administration, documentation updates, and coding/scripting. You'll improve product adoption by enhancing products, tools, processes, and documentation. You'll work with a team providing 24/7 customer support, understanding customer issues, advocating for their needs with internal teams (Product and Engineering), and driving quality production. You'll assist customers with production deployments, ensuring product readiness, availability, and scale. This role requires expertise in Google Cloud's Data Analytics (e.g., BigQuery), AI/ML, and underlying architectures. You'll act as a consultant and subject matter expert for internal and external stakeholders, resolving technical deployment obstacles and improving Google Cloud.
Must have:
  • Bachelor's degree in STEM or equivalent experience
  • 4+ years in technical support, professional services, or development
  • 4+ years of code reading/debugging experience (Java, C, C++, Python, etc.)
  • Troubleshooting and communication skills
  • Understanding of Google Cloud's Data Analytics and AI/ML
Good to have:
  • Experience with multi-node environments
  • Data analytics, warehousing, ETL, Big Data, AI/ML experience
  • Experience with distributed databases or data processing frameworks
  • Machine learning technologies (TensorFlow) experience
  • TCP/IP, Unix/Linux administration knowledge

Job Details


Minimum qualifications:

  • Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 4 years of experience in technical support, professional services, software development, or product operations management
  • 4 years of experience reading or debugging code (e.g., in one or more of the following: Java, C, C++, Python, Shell, Perl, JavaScript).

Preferred qualifications:

  • Experience with debugging workload issues across multi-node environments.
  • Experience in data analytics, warehousing, ETL development, data science or other Big Data applications and AI/ML tools and usage of models.
  • Experience with distributed, columnar or analytic oriented databases or distributed data processing frameworks.
  • Experience with machine learning technologies (e.g., Tensorflow), developing or training models or implementing solutions that evoke such models.
  • Understanding of TCP/IP concepts, Unix/Linux basic administration and commands, from Kernel to Shell, file systems, and client-server protocols.
  • Excellent troubleshooting, attention to detail, and communication skills in a fast paced setting.

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.

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. Our Technical Solutions team is driven by customers and 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

  • Develop an understanding of Google Cloud's Data Analytics (e.g. BigQuery), AI/ML, and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer reported issues, building tools, and diagnosis.
  • Act as a consultant and subject matter expert for internal stakeholders in Engineering, Business, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
  • Work as a 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, and drive quality production.
  • Work with customers on their production deployment to resolve issues and achieve product readiness, availability, and scale.

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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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