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职位Google

Network Engineer, IP

Google

Network Engineer, IP

Google

·

On-site

·

Full-time

·

2w ago

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.

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

  • Define, and develop the implementation of test strategies and architectures for critical WAN infrastructure projects.

  • Design and execute comprehensive functional, integration, performance, and system-level testing for complex network devices and management systems.

  • Drive the creation and enhancement of scalable test automation frameworks, tools, and infrastructure.

  • Collaborate closely with Network Architecture, Software Engineering, and Product teams to embed quality throughout the development lifecycle and influence design for testability.

  • Diagnose and resolving complex issues across multi-vendor network environments.

Minimum qualifications

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.

  • Experience in designing and implementing networking systems.

  • 3 years of experience with TCP/IP-based, routing, and network management protocols.

  • Experience in network protocols, architectures, methodologies, and in scripting or programming languages (e.g., Python).

Preferred qualifications

  • Experience with planning and designing large-scale networks (e.g., multiple sites, multiple products, etc.).

  • Experience with Wide Area Network (WAN) technologies, including disaggregated networking or software-defined networking concepts.

  • Experience with modern network management interfaces and protocols (e.g., gRPC, gNMI, Open Config).

  • Ability to lead technical initiatives and influence Engineering teams.

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关于Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense