Full-Time

Network Design Engineer

Google

Google

10,001+ employees

Tech giant offering search, ads, cloud

No salary listed

Sydney NSW, Australia

In Person

Category
DevOps & Infrastructure (1)
Required Skills
TCP/IP
Python
SQL
Go
C/C++
Requirements
  • 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.
  • 3 years of experience in Dense Wavelength Division Multiplexing (DWDM) or Transmission Control Protocol/Internet Protocol (TCP/IP) or Network system design operations.
  • Experience in one or more programming languages such as C++, Go, or Python.
  • Experience in coding/scripting languages such as Go or Python, and SQL scripts.
  • Experience with Content Distribution Networks (CDN), IP transit/peering, dark fiber, colocation, optical transport, and cloud technologies.
Responsibilities
  • Review Google's network architecture standards and design global infrastructure that meets capacity requirements and SLOs while optimizing the CapEx/OpEx balance.
  • Incorporate newly New Product Introduction (NPI)’d solutions into plans and designs, ensure planning and design toolsets and business processes are ready for NPIs.
  • Evolve the business processes throughout their lifecycle (e.g., input gathering, generation, validation, publication, handoff).
  • Support establishing and maintaining business practices and policies in network planning and design (e.g., architectural/topology, hardware lifecycle, capacity/utilization target), improve performance, reliability, and reduce risk.
  • Create and promote automation tooling/scripts into network planning and design, contribute to the automation roadmap of all automatable tasks performed by the team, substantially reducing cycle time and improving quality and consistency.
  • Plan and design the world's largest Google's production global network, involved in large scale capacity augments, migrations, and new technology introductions globally to transition to Alphanet.
  • Execute and build upon our goal of an incredible optical, edge, core and campus network infrastructure for Alphanet to support continuous growing customer and ML demand.
  • Ensure that the network is efficiently built on-time while meeting our reliability and policy requirements.
  • Develop network planning and design best practices, processes and tooling.
  • Promote, create and contribute to automation tooling/scripts into network planning and design.
  • Drive the software automation roadmap to improve the quality and reduce the cycle time for network planning and design.
Desired Qualifications
  • Experience with planning and designing large-scale networks (e.g., multiple sites, multiple products, etc.).
  • Experience in telecommunications at carrier-class scale, with experience of DWDM optical and IP networks, as well as network automation scripting using Go or Python, and SQL scripts.
  • Experience with scaled capacity augment/migration projects in telecommunication, hyperscalar, data center or colocation networking environment.
  • Experience with defining system or process requirements, building, integrating, or delivering large-scale layer 1, layer 2 or layer 3 network systems.
  • Experience with forecasting and planning, and design tools, workflow automation tooling and improvement, automation scripts.

Google provides internet services and products, including a widely used search engine and a large ecosystem of tools for individuals and businesses. It works by processing user queries and ranking results with relevance and personalized data, while its advertising platforms show targeted ads to users. Its products span cloud computing (Google Cloud), productivity software (Google Workspace), and hardware like Pixel phones and Nest devices, all connected through data and machine learning. Its goal is to organize the world’s information so it is universally accessible and useful, while supporting a sustainable business model built on ads and a growing software, cloud, and hardware portfolio.

Company Size

10,001+

Company Stage

IPO

Headquarters

Mountain View, California

Founded

1998

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