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职位Google

Network Engineer

Google

Network Engineer

Google

·

On-site

·

Full-time

·

2w ago

About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $126,000 - $181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Position reports to the Google Austin, TX office and may allow for a hybrid schedule per Google policy.

Responsibilities

  • Conduct quantifiable analysis of network data and capacity forecast models to enhance scalability, efficiency, and user experience.

  • Evaluate network system inefficiencies and flaws to design and implement improved software, designs, and processes.

  • Develop software to improve the performance, security, transparency, and manageability of network systems.

  • Identify, diagnose, and resolve complex software, hardware, and other network system problems with minimal guidance.

  • Scale systems sustainably by creating tools and automation that improve system reliability and operational velocity. Participate in a rotating on-call schedule to support multi-vendor, SDN-based wired and wireless networks.

Minimum qualifications

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, and Telecommunications and 3 years of experience in the job offered or in a Network Engineer-related occupation.

  • Alternatively, will accept a Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, and Telecommunications and 1 year of experience in the job offered or in a Network Engineer-related occupation.

  • Position requires 1 year of experience in the following:

  • Border Gateway Protocol (BGP) for exchanging routing information between autonomous systems

  • Interior Gateway Protocols (IGP) including Intermediate System to Intermediate System (IS-IS)

  • Network troubleshooting to resolve interruptions using established procedures and tools

  • Multiprotocol Label Switching (MPLS) for high-performance network data-carrying

  • Writing readable and structured code in Python, C++, or Go for software development utilizing engineering best practices

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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