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Benefits & Perks
•Team events and activities
•Parental leave
•Flexible work arrangements
•Professional development budget
•Parental Leave
•Flexible Hours
•Learning
Required Skills
TypeScript
Node.js
JavaScript
About the job
As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.
You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.
As a Network Implementation Engineering, you will be responsible for the evaluation, design, and construction of Google's space in colocation facilities across the globe. You will plan, design, and generate construction level CAD drawings for the spaces we utilize across the globe. You will have a wide scope of background across the data center industry, including operations, engineering (network, electrical, or mechanical), making the time more effective at the work we perform.
Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.
Responsibilities
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Draft Statement Of Work (SOW) design/engineering drawing sets.
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Design spaces that meet needs along with maintaining flexibility for the future.
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Create LISP routines to automate and improve drafting efficiencies.
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Review proposals, costs, and submittals related to the build of the colocation spaces.
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Understand entry level electrical engineering concepts related to deployments in data centers.
Minimum qualifications
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Bachelor's degree in Network Engineering or Telecom Engineering, a related technical field, or equivalent practical experience.
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2 years of experience with networking protocols and troubleshooting.
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Experience with two or more of the following: server hardware and software, network hardware and software, data center infrastructure and operations, or mechanical and electrical systems.
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Experience with AutoCAD.
Preferred qualifications
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Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, a related field or equivalent practical experience.
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4 years of experience with AutoCAD, managing projects in data center construction or commercial construction.
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Experience in the following: construction project management, electrical engineering, fiber OSP/ISP engineering and large-scale project management.
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Experience with LISP and scripting.
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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%
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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
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