Networking Test Engineer
Job Summary
Job Description
- Bachelor's degree in CS/EE or equivalent
- 2+ years network equipment & protocol testing
- Experience in test automation (Python, C++, Golang)
- Test plan & case creation
- Network troubleshooting & debugging
- Master's/PhD in CS
- 5+ years software development & testing
- Experience with large networks & deployment
6 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
- 2 years of experience with network equipment and network protocols testing and debugging.
- Experience in test automation, test methodologies, writing test plans and creating test cases using Python, C++, Golang.
Preferred qualifications:
- Master's degree or PhD in Computer Science or equivalent practical experience.
- 5 years of experience in software development and testing.
- Experience with Network Equipment, Network Protocols Testing, debugging, Large Networks troubleshooting, Deployment.
About the job
Our computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have hands-on experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
- Design, develop, and execute comprehensive test plans and cases for Google SDN network, infrastructure, and services, and maintain lab testbeds, test infrastructure, and existing test automation environments (hardware and software).
- Identify, document, and track network defects and performance issues, implement various simulation techniques to replicate and assess network behavior and performance.
- Collaborate with cross-functional teams to identify, troubleshoot, and resolve network problems, triage automated regression failures, provide failure analysis and manage software releases to production.
- Utilize testing tools to assess network system performance and reliability, and analyze test results, generate detailed reports on network performance and reliability.
- Participate in the design and implementation of automated testing solutions, serve as a technical resource to junior team members for simple to intermediate technical problems (e.g., lab infrastructure or installations).
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