Network Test Engineer, Switch Infrastructure Platforms

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 using Python or C++.
• Experience with test methodologies, writing test plans and creating test cases.

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 the following coding languages: C or C++, or Python or Go Lang.

Responsibilities

• Design and execute comprehensive network test plans. Triage automated regression failures, provide failure analysis, and manage software releases to production.
  
• Utilize testing tools such as Ixia, Spirent Test Center, TRex, Wireshark, etc. to assess the performance and reliability of network systems. Document test procedures and results.
• Implement various simulation techniques to replicate diverse network conditions for thorough testing. Build and maintain Testbed infrastructure and existing test automation. 
• Ensure the robustness of network infrastructure. Collaborate with cross-functional teams to identify, troubleshoot, and resolve network issues. 

About the job

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.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.