招聘
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•Parental leave
•Competitive salary and equity package
•Flexible work arrangements
•401(k) matching
•Professional development budget
•Healthcare
•Parental Leave
•Equity
•Flexible Hours
•Learning
Required Skills
Python
Node.js
JavaScript
About the job
Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.
Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.
Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.
In this role, you will be maintaining operational health and optimizing capacity. You will be improving the experience for end-users, with the aims and business goals of our internal stakeholders.
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.
Responsibilities
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Support Linux machines across the globe to ensure the reliability of Google’s content delivery and compute infrastructure.
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Collaborate regularly with partner ISPs to provide remote troubleshooting and IP networking support.
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Identify and implement projects to automate and improve support, and onboard new hardware and services.
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Work with engineering teams, hardware vendors, product managers, and partners.
Minimum qualifications
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Bachelor's degree in Computer Science or equivalent practical experience.
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3 years of experience with systems automation, and with systems design and implementation.
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Experience in TCP/IP and networking concepts (PXE boot, Subnets, VLANs, LACP, DNS, SSH, etc.).
Preferred qualifications
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Experience in automation and coding (e.g., Go, Javascript, Python, or other languages).
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Understanding of Linux/Unix administration and internals.
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Understanding of internet peering/routing topologies (e.g., BGP), and front-end development.
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Excellent problem-solving and communication skills.
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Excellent troubleshooting skills across Linux and networking.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
News & Buzz
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