Google

Network Test Engineer, Switch Infrastructure

Posted On

May 6, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

May 22, 2025

Job Description

Write simple test plans, and automate others' test plans.
Execute testing and releases of networking product/feature.
Triage automated regression bugs, provide failure analysis and proactively escalate more complex issues to senior engineers.
Apply debugging and problem-solving skills to ensure the robustness of network infrastructure.
Setup and maintain Testbed infrastructure and existing test automation. Document test procedures and results.

Minimum qualifications:

Bachelor's degree in Computer Science/IT or equivalent practical experience.
1 year of experience in software development and testing.
Experience with test methodologies, writing test plans, creating test cases, automation, and debugging.
Experience with a coding language (e.g., C++ or Python).

Preferred qualifications:

Experience with test methodologies, creating test cases, automation and debugging.
Experience with network equipment and network protocols testing and debugging.

Bachelor's degree in Computer Science/IT or equivalent practical experience.
1 year of experience in software development and testing.
Experience with test methodologies, writing test plans, creating test cases, automation, and debugging.
Experience with a coding language (e.g., C++ or Python).

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.

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