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Data Center Technician III, Global Server Operations
placeFarciennes, Belgium; Saint-Ghislain, Belgium
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Competitive salary and bonus
•Development budget
•Flexible work
•Stock options
•Health benefits
•Equity
•Healthcare
Required Skills
SAP
Python
Excel
About the job
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Contribute to and lead efforts/projects in the deployment, maintenance, and support of Google Cloud region (e.g., cloud data center) infrastructure.
- Lead troubleshooting and resolve escalated technical issues regarding affected equipment.
- Help test and troubleshoot new server hardware components and designs. Configure and troubleshoot Operating System (OS) related issues on the server.
- Resolve technical issues (e.g., hardware, software, application, operational, process) using different tools until final resolution, communicating with different stakeholders.
- Work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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Experience with operating systems and networking protocols.
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Experience with computer hardware and server hardware or troubleshooting/diagnosing.
Preferred qualifications
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Experience in working within a data center or network operation center environment.
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Experience in project management and leadership.
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Experience in maintenance and monitoring of server systems.
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Experience with Linux operating systems.
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Ability to collaborate and partner with teams to resolve issues.
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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
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