📍 Job Overview

Job Title: Data Center Operations Manager, Machine Learning, Travel
Company: Google
Location: Reston, Virginia, United States
Job Type: On-site
Category: Data Center Operations, Machine Learning, Travel
Date Posted: 2025-08-08
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Manage a team of Data Center Technicians responsible for installing, configuring, testing, troubleshooting, and maintaining hardware and server software in Google's data centers.
Oversee the quality installation of server hardware and components, and take charge of complicated installations/troubleshooting.
Lead small project teams on larger installations and develop project contingency plans.
Collaborate with teams to meet goals and stakeholders to manage facility activities and set/implement strategies.
Maintain, monitor, and execute security and operational procedures, analyze trends to identify opportunities for improvements, and ensure alignment with organizational policies.
Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives, ensuring environmental and safety incidents are investigated, resolved, and reported.
Manage a team of Machine Learning (ML) Travelers remotely and support 24/7 initiatives.

📝 Enhancement Note: This role requires a strong background in data center operations, team management, and vendor management, with a focus on hardware infrastructure, networking, and Linux/Unix system administration. Experience working in data center environments and building collaborative team environments is highly preferred.

💻 Primary Responsibilities

Lead a team of individuals to repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on issues.
Partner with teams to meet goals and stakeholders to manage facility activities and set/implement strategies.
Maintain, monitor, and execute security and operational procedures, analyze trends to identify opportunities for improvements, ensuring alignment with organizational policies.
Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives, ensuring environmental and safety incidents are investigated, resolved, and reported.
Manage a team of Machine Learning (ML) Travelers remotely and support 24/7 initiatives.

📝 Enhancement Note: This role requires strong problem-solving skills, excellent communication, and the ability to work non-standard hours, including weekends, night shifts, holidays, and shift-based schedules as required.

🎓 Skills & Qualifications

Education: A bachelor's degree in a technical field or equivalent practical experience.

Experience: At least 5 years of experience in computing infrastructure, networking, operating systems, or hardware, with 2 years of experience managing technical teams, vendor or contract management, and delivery.

Required Skills:

Data center operations management
Team management and leadership
Vendor management and delivery
Linux/Unix system administration
Networking and hardware infrastructure
Problem-solving and troubleshooting
Data gathering, analysis, and presentation
Environmental Health and Safety (EHS) and compliance programs

Preferred Skills:

Experience working in data center environments
Building and leading a collaborative team environment
Experience with data gathering, analysis, and presentation skills
Excellent problem-solving skills

📝 Enhancement Note: Candidates with experience in machine learning, travel, and project management will have a significant advantage in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Data Center Operations: Demonstrate your experience in managing data center operations, including building and operating large-scale infrastructure, network and compute architecture, and their life cycle.
Team Management: Showcase your ability to build and lead a collaborative team environment, with an ability to implement and drive the safety culture.
Problem-Solving: Highlight your problem-solving skills through case studies or examples of complex issues you've resolved in data center environments.
Data Analysis: Present your data gathering, analysis, and presentation skills through relevant projects or case studies.

Technical Documentation:

Data Center Infrastructure: Document your experience with data center environments, including the installation, configuration, testing, troubleshooting, and maintenance of hardware and server software.
Team Management & Leadership: Describe your approach to team management, including your experience with vendor management, delivery, and driving a safety culture.
Problem-Solving & Troubleshooting: Detail your problem-solving methodologies and provide examples of complex issues you've resolved in data center environments.
Data Analysis & Presentation: Explain your data analysis and presentation skills, and provide examples of how you've used data to drive decision-making and improve operations.

📝 Enhancement Note: While a portfolio is not explicitly required for this role, demonstrating your experience and skills through relevant projects, case studies, or examples will strengthen your application.

💵 Compensation & Benefits

Salary Range: The US base salary range for this full-time position is $105,000 - $151,000 + bonus + equity + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Benefits:

Bonus
Equity
Benefits

Working Hours: This role requires the ability to work non-standard hours, including weekends, night shifts, holidays, and shift-based schedules as required.

📝 Enhancement Note: The provided salary range is determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

🎯 Team & Company Context

🏢 Company Culture

Industry: Google is a multinational technology company that specializes in Internet-related services and products, including online advertising, search engines, cloud computing, and software.

Company Size: Google has over 135,000 employees worldwide, making it a large organization with significant resources and opportunities for growth and development.

Founded: Google was founded in 1998 by Larry Page and Sergey Brin.

Team Structure:

The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology.
This role involves managing a team of Data Center Technicians, who are responsible for installing, configuring, testing, troubleshooting, and maintaining hardware and server software in Google's data centers.

Development Methodology:

Google uses Agile methodologies to develop and maintain its products and services.
The Hardware Operations team follows established procedures and protocols to ensure the quality and reliability of Google's data center infrastructure.

Company Website: Google

📝 Enhancement Note: Google's company culture is known for its innovative, collaborative, and data-driven approach to problem-solving. The company values diversity, inclusion, and continuous learning, making it an attractive place to work for technical professionals.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a management position within the data center operations field. It requires a strong background in data center operations, team management, and vendor management, with a focus on hardware infrastructure, networking, and Linux/Unix system administration.

Reporting Structure: This role reports directly to the Hardware Operations Manager and is responsible for managing a team of Data Center Technicians.

Technical Impact: This role has a significant impact on Google's data center infrastructure, ensuring that the hardware and software components are functioning properly and that the data centers are operating efficiently.

Growth Opportunities:

Career Progression: This role offers opportunities for career progression within the Hardware Operations team or other technical teams within Google.
Technical Skill Development: This role provides opportunities to develop and improve technical skills in data center operations, team management, and vendor management.
Leadership Development: This role offers opportunities to develop leadership skills through managing a team and driving a safety culture.

📝 Enhancement Note: Google provides extensive training and development opportunities for its employees, including mentorship programs, leadership development courses, and access to cutting-edge technology and tools.

🌐 Work Environment

Office Type: Google's offices are designed to be collaborative, innovative, and comfortable workspaces that foster creativity and productivity.

Office Location(s): This role is based in Reston, Virginia, United States.

Workspace Context:

Collaborative Work Environment: Google's offices are designed to encourage collaboration and teamwork, with open workspaces, meeting rooms, and breakout areas.
Technical Infrastructure: Google's data centers are state-of-the-art facilities that house the company's servers, networking equipment, and other hardware components.
Work-Life Balance: Google offers flexible work arrangements, including remote work and flexible hours, to help employees achieve a healthy work-life balance.

Work Schedule: This role requires the ability to work non-standard hours, including weekends, night shifts, holidays, and shift-based schedules as required.

📝 Enhancement Note: Google's work environment is designed to be inclusive, diverse, and collaborative, with a focus on employee well-being and work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Screening: A phone or video screening to assess your qualifications and experience.
Technical Assessment: A hands-on assessment of your technical skills, focusing on data center operations, team management, and vendor management.
Behavioral Interview: An interview focused on your problem-solving skills, communication, and leadership abilities.
Final Interview: A final interview with the hiring manager to discuss your fit for the role and the team.

Portfolio Review Tips:

Data Center Operations: Highlight your experience in data center operations, including building and operating large-scale infrastructure, network and compute architecture, and their life cycle.
Team Management: Showcase your ability to build and lead a collaborative team environment, with an ability to implement and drive the safety culture.
Problem-Solving: Highlight your problem-solving skills through case studies or examples of complex issues you've resolved in data center environments.
Data Analysis: Present your data gathering, analysis, and presentation skills through relevant projects or case studies.

Technical Challenge Preparation:

Data Center Operations: Brush up on your knowledge of data center operations, including hardware infrastructure, networking, and Linux/Unix system administration.
Team Management: Prepare for questions about your experience with team management, vendor management, and delivery.
Problem-Solving: Practice your problem-solving skills through case studies or examples of complex issues you've resolved in data center environments.
Data Analysis: Prepare for questions about your data gathering, analysis, and presentation skills.

ATS Keywords: (See the list of relevant keywords below)

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, problem-solving abilities, and cultural fit within the Hardware Operations team. Be prepared to discuss your experience in data center operations, team management, and vendor management, as well as your approach to problem-solving and data analysis.

🛠 Technology Stack & Web Infrastructure

Data Center Infrastructure:

Hardware: Servers, networking equipment, storage systems, and other hardware components.
Software: Linux/Unix operating systems, server software, and other software components.
Networking: Network protocols, switches, routers, and other networking components.

Development & DevOps Tools:

Version Control: Git
Continuous Integration/Continuous Deployment (CI/CD): Jenkins, Google Cloud Build
Monitoring & Logging: Prometheus, Grafana, ELK Stack
Infrastructure as Code (IaC): Terraform, CloudFormation

📝 Enhancement Note: This role requires a strong background in data center operations, with experience in hardware infrastructure, networking, and Linux/Unix system administration. Familiarity with the tools and technologies used in Google's data centers is preferred.

👥 Team Culture & Values

Data Center Operations Values:

Reliability: Ensuring that Google's data centers are operating efficiently and reliably.
Scalability: Designing and implementing data center infrastructure that can scale to meet Google's growing needs.
Innovation: Continuously improving data center operations through the use of new technologies and best practices.
Collaboration: Working closely with other teams within Google to ensure that data center infrastructure meets the needs of Google's products and services.

Collaboration Style:

Cross-Functional Collaboration: Working closely with other teams within Google, such as Product, Engineering, and Site Reliability Engineering (SRE), to ensure that data center infrastructure meets the needs of Google's products and services.
Teamwork: Collaborating with the Hardware Operations team to ensure that data center infrastructure is designed, implemented, and maintained effectively.
Knowledge Sharing: Sharing knowledge and expertise with other team members to improve data center operations and drive innovation.

📝 Enhancement Note: Google's data center operations team values collaboration, innovation, and continuous improvement. The team works closely with other teams within Google to ensure that data center infrastructure meets the needs of Google's products and services.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Center Operations: Managing the complex infrastructure of Google's data centers, including hardware, software, and networking components.
Team Management: Building and leading a collaborative team environment, with an ability to implement and drive the safety culture.
Vendor Management: Managing relationships with vendors and suppliers to ensure that Google's data center infrastructure meets the company's needs.
Problem-Solving: Resolving complex issues in data center environments, often under tight deadlines.

Learning & Development Opportunities:

Technical Skill Development: Developing and improving technical skills in data center operations, team management, and vendor management.
Leadership Development: Developing leadership skills through managing a team and driving a safety culture.
Career Progression: Pursuing career progression opportunities within the Hardware Operations team or other technical teams within Google.

📝 Enhancement Note: This role presents significant technical challenges and opportunities for growth and development. Candidates with strong problem-solving skills, excellent communication, and the ability to work non-standard hours will thrive in this role.

💡 Interview Preparation

Technical Questions:

Data Center Operations: Be prepared to discuss your experience in data center operations, including hardware infrastructure, networking, and Linux/Unix system administration.
Team Management: Prepare for questions about your experience with team management, vendor management, and delivery.
Problem-Solving: Practice your problem-solving skills through case studies or examples of complex issues you've resolved in data center environments.
Data Analysis: Prepare for questions about your data gathering, analysis, and presentation skills.

Company & Culture Questions:

Google's Data Center Operations: Research Google's data center operations and be prepared to discuss how you would contribute to the team's success.
Teamwork & Collaboration: Prepare for questions about your experience working in a collaborative team environment and your ability to drive a safety culture.
Problem-Solving: Practice your problem-solving skills through case studies or examples of complex issues you've resolved in data center environments.

Portfolio Presentation Strategy:

Data Center Operations: Highlight your experience in data center operations, including building and operating large-scale infrastructure, network and compute architecture, and their life cycle.
Team Management: Showcase your ability to build and lead a collaborative team environment, with an ability to implement and drive the safety culture.
Problem-Solving: Highlight your problem-solving skills through case studies or examples of complex issues you've resolved in data center environments.
Data Analysis: Present your data gathering, analysis, and presentation skills through relevant projects or case studies.

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, problem-solving abilities, and cultural fit within the Hardware Operations team. Be prepared to discuss your experience in data center operations, team management, and vendor management, as well as your approach to problem-solving and data analysis.

📌 Application Steps

To apply for this Data Center Operations Manager, Machine Learning, Travel position at Google:

Submit your application through the application link provided in the job listing.
Tailor your resume to highlight your experience in data center operations, team management, and vendor management, as well as your problem-solving skills and data analysis skills.
Prepare for the technical assessment by brushing up on your knowledge of data center operations, team management, and vendor management, as well as your problem-solving skills and data analysis skills.
Research Google's data center operations and be prepared to discuss how you would contribute to the team's success in your interview.
Prepare for behavioral interview questions by practicing your problem-solving skills through case studies or examples of complex issues you've resolved in data center environments, and be ready to discuss your experience working in a collaborative team environment and your ability to drive a safety culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to data center operations, machine learning, and travel roles.
Include data center infrastructure, networking, operating systems, and hardware management practices.
Emphasize team management, vendor management, and problem-solving skills.
Address data gathering, analysis, and presentation skills in the context of data center operations.
Highlight the ability to work non-standard hours, including weekends, night shifts, holidays, and shift-based schedules as required.

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information.
Only include Enhancement Notes when making significant inferences about data center operations, team management, or vendor management.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute data center operations, machine learning, and travel-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and data center operations specialization.

Industry Expertise:

Include specific data center infrastructure, networking, and hardware management tools relevant to the role.
Address data center operations career progression paths and technical leadership opportunities within the field.
Provide tactical advice for data center operations portfolio development, live demonstrations, and project case studies.
Include data center operations-specific interview preparation and coding challenge guidance.
Emphasize data center operations best practices, hardware infrastructure, networking, and Linux/Unix system administration.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use data center operations, machine learning, and travel industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to data center operations professionals.
Provide actionable insights that give data center operations candidates a competitive advantage.
Focus on data center operations team culture, cross-functional collaboration, and user impact measurement.

Technical Focus & Portfolio Emphasis:

Emphasize data center operations best practices, hardware infrastructure, networking, and Linux/Unix system administration.
Include specific portfolio requirements tailored to the data center operations discipline and role level.
Address browser compatibility, accessibility standards, and user experience design principles in the context of data center operations.
Focus on problem-solving methods, performance optimization, and scalable data center architecture.
Include technical presentation skills and stakeholder communication for data center operations projects.

Avoid:

Generic business jargon not relevant to data center operations, machine learning, or travel roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific data center operations role.
Marketing language unrelated to data center operations, machine learning, or travel.

Generate comprehensive, data center operations-focused content that serves as a valuable resource for data center operations, machine learning, and travel professionals evaluating career opportunities and preparing for technical interviews in the data center operations industry.

Data Center Operations Manager, Machine Learning, Travel