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Google
Google

Organizing the world's information and making it universally accessible.

Senior Software Engineer, Google Global Infrastructure, Networking

职能工程
级别资深
方式现场办公
类型全职
发布1个月前
立即申请

About the job

The Google Global Network (GGN) is the world’s largest network, defined by a unique architecture that ensures global reliability, speed, and hardware efficiency. Spanning the Edge network, the B2 backbone (Edge-to-Data-Center), and the B4 backbone (Data-Center-to-Data-Center), our infrastructure presents massive-scale engineering issues that require sophisticated, well-tested network management services and specialized device validation.Managing a network of this magnitude is high-stakes; even minor software regressions can impact global connectivity. The GGN Engineering Productivity (Eng Prod) team is the backbone of this reliability. We provide the comprehensive tools and physical infrastructure that empower all of GGN Engineering to test network management software and hardware effectively. Beyond infrastructure, we partner with network service owners to architect end-to-end testing strategies, from functional and integration testing to full-scale solution and staging environments.

In this role, you will ensure that the software managing Google's global traffic is scalable and validated against the highest standards of engineering excellence.

The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

  • Serve as the Technical Lead for the emulation team, architecting and driving the implementation of the GGN virtualization infrastructure leveraging Kubernetes to step-functionally accelerate testing and development cycles and reduce physical lab dependencies.

  • Provide high-level technical leadership to emulation engineers; define design and implementation strategies, conduct architectural reviews, and personally resolve the team's most complex technical bottlenecks.

  • Evaluate and integrate Google technologies and cloud-native patterns to modernize the GGN Eng Prod stack and maintain an edge in infrastructure productivity.

  • Advocate and institutionalize industry-best practices in automated testing, code health, and agile methodologies, elevating the engineering standards across the broader organization.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in one or more programming languages.

  • 3 years of experience with virtualization.

  • 3 years of experience with software architecture.

  • 2 years of experience with cloud compute platform, Kubernetes.

Preferred qualifications

  • Master's degree or PhD in Computer Science or a related technical field.

  • 3 years of experience in coding with Go.

  • 3 years of experience with network virtualization.

  • 3 years of experience with testing.

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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

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

面试评价

9条评价

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