Network Automation Engineer, Global Network Operations

1 Month ago • 3 Years + • Network Engineering

Job Summary

Job Description

This Network Automation Engineer role within Google's Global Network Operations focuses on building software solutions and introducing technologies to improve network reliability and operational cost. Responsibilities include analyzing network data for scalability and efficiency, identifying and improving system inefficiencies, automating network repair processes to reduce MTTR and costs, leveraging partner automation infrastructures, and operationalizing new core network technologies. The role involves working with global core network engineering and software development teams to impact Google's network at a global scale.
Must have:
  • Bachelor's degree in CS/Engineering or equivalent
  • 3+ years network routing, design, troubleshooting experience
  • Experience with C++, Go, or Python
  • Experience developing/maintaining automation frameworks
  • Analyze and troubleshoot global-scale core networks
Good to have:
  • Large-scale network planning and design experience
  • IP backbone & optical network knowledge
  • SQL scripting and complex data querying skills

Job Details

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.
  • Experience in developing and maintaining software services, tools and automation frameworks that analyze and troubleshoot global-scale core networks (IP backbone and optical network) and their supporting systems.

Preferred qualifications:

  • Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.).
  • Knowledge of IP backbone (e.g., routing protocols, IP addressing, management and control planes, etc.) and optical network (e.g., DWDM, OTN, coherent transceiver, etc.).
  • Ability to write SQL scripts and query complex data structures to retrieve network and process diagnostic information.

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 have the opportunity to work with a mix of global core network engineering and software development to build software solutions and introduce technology which impactfully improve the Google network reliability and operational cost.

Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.

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.
  • Drive automation of the life-cycle of the Google global core network repair with minimum human interactions so we could reduce the Mean Time To Repair (MTTR), human error and operational cost.
  • Build and leverage other repair automation infrastructures from partner software engineering teams to complement and consolidate our own network repair automation stack.
  • Operationalize new core network technology so they could be introduced to production for Google to take advantage of next generation features, lower cost per byte and spectrum efficiency.

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