
Organizing the world's information and making it universally accessible.
Senior Software Engineer, Google Global Infrastructure, Networking
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
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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.
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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.
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Evaluate and integrate Google technologies and cloud-native patterns to modernize the GGN Eng Prod stack and maintain an edge in infrastructure productivity.
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Advocate and institutionalize industry-best practices in automated testing, code health, and agile methodologies, elevating the engineering standards across the broader organization.
Minimum qualifications
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Bachelor’s degree or equivalent practical experience.
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5 years of experience with software development in one or more programming languages.
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3 years of experience with virtualization.
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3 years of experience with software architecture.
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2 years of experience with cloud compute platform, Kubernetes.
Preferred qualifications
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Master's degree or PhD in Computer Science or a related technical field.
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3 years of experience in coding with Go.
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3 years of experience with network virtualization.
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3 years of experience with testing.
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关于Google

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
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