Technical Solutions Engineer, Infrastructure, Serverless

2 Days ago • 2 Years + • DevOps

Job Summary

Job Description

This role involves troubleshooting technical challenges for customers using Google Cloud's Serverless products. Responsibilities include debugging, networking, system administration, documentation updates, and coding/scripting. You'll work to improve product adoption by enhancing tools, processes, and documentation. You'll also advocate for customer needs with internal teams, driving product improvements and business growth. The position requires collaboration with engineers, business stakeholders, and customer organizations to resolve deployment obstacles. This is a customer-facing role requiring fluent English communication and may involve non-standard work hours, including weekends, as part of a global 24-hour support team.
Must have:
  • Bachelor's degree in STEM or equivalent experience
  • 2+ years coding, troubleshooting, customer advocacy
  • 2+ years experience with Web Tech, Data/Big Data, etc.
  • Fluent English communication
  • Troubleshooting Serverless deployments
  • Root cause analysis and tool building
Good to have:
  • Experience with kernel debugging and performance analysis
  • Public cloud experience (e.g., GCP)
  • Multi-node environment debugging
  • Computer networking knowledge (TCP/IP, Routing, etc.)
  • Knowledge of basic web technologies (HTTP, HTML, etc.)

Job Details

Minimum qualifications:

  • Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 2 years of experience coding in a general purpose language or system design, troubleshooting/advocating for customers needs, and triaging technical issues.
  • 2 years of experience with two or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
  • Ability to communicate in English fluently as this is a customer-facing role that requires interactions in English with local stakeholders.

Preferred qualifications:

  • Experience with exploratory kernel debugging and performance analysis of containerized systems.
  • Experience working with any public cloud (e.g., Google Cloud Platform) services and infrastructure.
  • Experience debugging workload issues across multi-node environments.
  • 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

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

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 Serverless deployments to resolve issues and achieve product readiness, availability, and scale.
  • Develop an understanding of Serverless product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.
  • Consult with internal stakeholders in engineering, business, 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. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work.
  • 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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