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Data Center Technician III, Third Party Data Centers

Google

Data Center Technician III, Third Party Data Centers

Google

placeAmarillo, TX, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$87,000 - $125,000

Benefits & Perks

Generous paid time off and holidays

Professional development budget

Flexible work arrangements

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

Learning

Flexible Hours

Healthcare

Equity

Required Skills

Python

PostgreSQL

JavaScript

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 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.

The US base salary range for this full-time position is $87,000-$125,000 + 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

  • Deploy and operate new data center infrastructure across teams.

  • Report issues and follow data center procedures to troubleshoot and diagnose somewhat complex issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.

  • Maintain the security and integrity of data, track various forms of media to check for non-standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.

  • Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, within one or more teams.

  • Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with multiple solutions, separately.

Minimum qualifications

  • Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment.

  • Experience with diagnosing and troubleshooting operating systems, computer hardware and server hardware.

  • Experience with networking protocols.

  • Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.

  • Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.

Preferred qualifications

  • Bachelor's degree or equivalent practical experience.

  • 4 years of experience in maintenance and monitoring of server systems.

  • Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).

  • Experience working within a data center or network operation center environment.

  • Experience with Linux operating systems.

  • Experience in project management and leadership, and collaborating and partnering with teams.

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About Google

Google

Google

Public

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