Google

Network Automation Engineer, AI and Infrastructure

Google$126K — $181K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 3 years of experience with network routing protocols, design, and troubleshooting.
  • Experience with programming languages such as C, Go, or Python.

Responsibilities

  • Drive analysis of data and capacity forecasts to enhance network scalability and efficiency.
  • Evaluate and improve existing network systems by addressing inefficiencies and flaws.
  • Develop software to enhance the performance and manageability of network systems.
  • Participate in rotating on-call schedules, including weekends.

Benefits

  • Comprehensive benefits package including health, wellness, and retirement plans.
  • Opportunities for professional development and continuous learning.
  • Supportive work environment with a focus on innovation and collaboration.
  • Access to cutting-edge technology and infrastructure.
Full Job Description
info_outline
X The application window will be open until at least August 5, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Minimum qualifications:
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  • 3 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
  • Experience in one or more programming languages such as C , Go, or Python.

Preferred qualifications:
  • Experience utilizing SQL and querying complex data structures to retrieve network diagnostics, combined with statistical analysis or AI/ML insights to identify failure trends.
  • Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.).
  • Experience developing software tools that programmatically analyze and troubleshoot global-scale IP (e.g., routing protocols, control planes) or optical networks (e.g., DWDM, OTN).
  • Experience in Go programming and working with internal RPC/service frameworks, databases, and large-scale data pipelines.
  • Experience creating formal technical requirements and design documents for complex, scalable software applications and services.


About the job

Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.

In this role, you will work at the intersection of global core network engineering and software engineering to build software solutions and introduce technologies. You will design and implement systems that directly enhance Google's network reliability, reduce operational toil, and optimize global cost per byte.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $126000 - $181000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Drive the quantifiable analysis of measurements, or data and capacity forecast models for making networks more scalable, efficient, and deliver predictable user experience.
  • Evaluate the current inefficiencies, complexities, and flaws in network systems, and propose designs, software, and processes to improve them.
  • Develop software that improves the performance, safety, transparency, and manageability of network systems.
  • Participate in rotating schedules with other team members, including weekends.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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