招聘
About the job
- Site Reliability Engineering (SRE) is what you get when you treat operations as if it’s a software problem. Our mission is to progress, protect, and provide for the software and systems behind all of Google’s public services
- Search, Ads, Gmail, Android, YouTube, and AppEngine, to name just a few - with an ever-watchful eye on their availability, latency, performance, and capacity.
This is an unusual job, unlike others in the industry. Like traditional operations groups, we keep important, revenue-critical systems up and running despite hurricanes, bandwidth outages, and configuration problems. Unlike traditional operations groups, we also have full access to and authority to fix, extend, and scale the code to keep it working and harden it against all the vagaries of the Internet. We hire people from both systems and software backgrounds. Strong candidates will have experience with both.
Just as what we do is unique, where we do it is unique too. At Google, we have the good fortune to have developed many interesting systems ranging from planet-spanning databases to near real-time scalable data warehousing to fault-tolerant datastream joining. In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. We own those products in production. We drive reliability and performance across massive scale by mastering the full depth of the stack. We literally do learn something new every day - usually surprising things - that have the potential to transform the lives of billions of our users around the world.
The US base salary range for this full-time position is $147,000-$211,000 + 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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Write product or system development code.
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Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
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Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Minimum qualifications
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Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
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2 years of experience with software development in one or more programming languages.
Preferred qualifications
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Master's degree in Computer Science or Engineering.
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2 years of experience designing, analyzing, and troubleshooting large-scale distributed systems.
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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
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
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