📍 Job Overview

Job Title: Staff Infrastructure Data Systems Engineer
Company: ServiceNow
Location: Kirkland, WA, United States
Job Type: Full-time
Category: DevOps, Infrastructure
Date Posted: June 26, 2025
Experience Level: 10+ years
Remote Status: On-site (with flexible work personas)

🚀 Role Summary

Drive operational excellence in global data centers through internal tooling, data analysis, and knowledge management.
Collaborate cross-functionally with engineering, operations, and leadership teams to ensure reliable systems and actionable insights.
Leverage AI integration, data visualization, and documentation systems to enhance infrastructure performance and decision-making.

📝 Enhancement Note: This role requires a strong background in infrastructure management, data analysis, and cross-functional collaboration to succeed in a dynamic, global environment.

💻 Primary Responsibilities

Design and Build Internal Systems: Develop and maintain internal tooling, dashboards, and forecasting models to support data center operations.
Data Analysis and Reporting: Conduct detailed data analysis on infrastructure utilization, performance metrics, and trends to support decision-making.
Subject Matter Expertise: Serve as the go-to expert on infrastructure data reporting, modeling, and visualization using various platforms.
Documentation and Knowledge Management: Establish and maintain version-controlled knowledge libraries using SharePoint or internal portals.
Collaboration and Communication: Work closely with global stakeholders to translate complex data into clear and actionable insights.

📝 Enhancement Note: This role requires a high level of technical proficiency, attention to detail, and strong communication skills to succeed in a global, cross-functional environment.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

Experience: 8+ years of related experience in network engineering, systems administration, or infrastructure capacity planning roles.

Required Skills:

Expert-level Excel skills (pivot tables, advanced formulas, VBA macros)
Strong SQL proficiency
Experience with data visualization platforms (Power BI, Tableau, Grafana)
Deep experience with documentation systems (SharePoint) and technical writing
Strong understanding of infrastructure and capacity planning principles in cloud or large enterprise environments
Experience supporting or maintaining Linux-based systems
Proven track record of working cross-functionally with diverse teams
Ability to communicate clearly with executives and technical teams alike
Familiarity with ServiceNow and workflow tools

Preferred Skills:

System administration training or certifications (Solaris, Linux, shell scripting)
High attention to detail and a process-driven mindset

📝 Enhancement Note: Candidates with a strong background in data analysis, infrastructure management, and cross-functional collaboration will excel in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate proficiency in data analysis, visualization, and reporting through previous projects.
Showcase experience with infrastructure management, capacity planning, and system administration.
Highlight cross-functional collaboration and communication skills through case studies or testimonials.

Technical Documentation:

Provide examples of well-documented internal procedures, design documentation, or technical reports.
Include any relevant certifications or training in system administration or data analysis.

📝 Enhancement Note: A strong portfolio focusing on data-driven decision-making, infrastructure management, and cross-functional collaboration will set candidates apart for this role.

💵 Compensation & Benefits

Salary Range: $143,600 - $251,300 per year (based on location and experience)

Benefits:

Health plans, including flexible spending accounts
401(k) Plan with company match
Employee Stock Purchase Plan (ESPP)
Matching donations
Flexible time away plan and family leave programs

Working Hours: Full-time (40 hours/week) with flexible work personas available.

📝 Enhancement Note: The salary range provided is a guideline and may vary based on individual qualifications, competencies, and work location. ServiceNow also offers a competitive On Target Earnings (OTE) incentive compensation structure for sales positions.

🎯 Team & Company Context

Company Culture:

Industry: ServiceNow is a global market leader in digital workflows, empowering organizations to find smarter, faster, and better ways to work.
Company Size: Large (8,100 customers, including 85% of the Fortune 500)
Founded: 2004
Team Structure: The Data Center Services – Operations Engineering (DCS-OE) team is part of the Global Cloud Services organization, supporting the data center operations of the Unified Technology Group (UTG) and Success, Technology, Experience, and Platform (STEP) organizations.
Development Methodology: The team follows Agile methodologies, with a focus on data-driven decision-making, continuous improvement, and cross-functional collaboration.

Company Website: ServiceNow

📝 Enhancement Note: ServiceNow's culture emphasizes innovation, collaboration, and customer success, with a strong focus on leveraging AI and data-driven insights to improve workflows and operations.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a senior-level position, requiring extensive experience in infrastructure management, data analysis, and cross-functional collaboration.

Reporting Structure: The Staff Infrastructure Data Systems Engineer will report directly to the DCS-OE team lead and collaborate closely with global stakeholders, including engineering, operations, and leadership teams.

Technical Impact: This role has a significant impact on global data center performance, capacity planning, and decision-making, driving operational excellence and enhancing ServiceNow's infrastructure.

Growth Opportunities:

Technical Leadership: Develop expertise in infrastructure data management, modeling, and visualization to drive innovation and best practices within the team and across the organization.
Cross-Functional Collaboration: Expand influence and impact by working closely with diverse teams, including engineering, operations, and leadership, to drive data-driven decision-making and improve workflows.
Career Progression: Pursue opportunities in technical leadership, architecture, or management roles within the Global Cloud Services organization or other teams across ServiceNow.

📝 Enhancement Note: This role offers significant growth potential for candidates with strong technical skills, a data-driven mindset, and a proven track record of cross-functional collaboration.

🌐 Work Environment

Office Type: On-site with flexible work personas available, allowing for remote work arrangements based on the nature of the role and assigned work location.

Office Location(s): Kirkland, WA, United States

Workspace Context:

Collaborative Environment: Work closely with global stakeholders, including engineering, operations, and leadership teams, to ensure reliable systems, actionable insights, and well-governed knowledge management.
Data-Driven Decision-Making: Leverage AI integration, data visualization, and documentation systems to enhance infrastructure performance and drive operational excellence.
Cross-Functional Collaboration: Engage with diverse teams to translate complex data into clear and actionable insights, supporting decision-making and improving workflows.

Work Schedule: Full-time (40 hours/week) with flexible work personas available, allowing for remote work arrangements based on the nature of the role and assigned work location.

📝 Enhancement Note: ServiceNow's work environment emphasizes flexibility, trust, and collaboration, with a focus on driving operational excellence through data-driven decision-making and cross-functional teamwork.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: Discuss the role, team dynamics, and technical qualifications with a member of the DCS-OE team.
Technical Deep Dive: Present a data analysis project or case study, demonstrating your ability to conduct detailed data analysis, visualization, and reporting.
Behavioral and Cultural Fit: Engage in a conversation with the hiring manager and team members to assess your fit within the team and ServiceNow's culture.
Final Decision: The DCS-OE team lead will make a final decision based on the interview process and present an offer to the selected candidate.

Portfolio Review Tips:

Highlight your proficiency in data analysis, visualization, and reporting through previous projects.
Showcase your experience with infrastructure management, capacity planning, and system administration.
Demonstrate your ability to collaborate cross-functionally and communicate complex data insights effectively.

Technical Challenge Preparation:

Brush up on your Excel, SQL, and data visualization skills, focusing on advanced techniques and large datasets.
Familiarize yourself with ServiceNow, Linux-based systems, and documentation systems (SharePoint).
Prepare for behavioral questions focused on cross-functional collaboration, data-driven decision-making, and problem-solving.

ATS Keywords: AI Integration, Data Analysis, Excel, SQL, Data Visualization, Documentation Systems, Infrastructure Planning, Linux Systems, Cross-Functional Collaboration, Communication, ServiceNow, System Administration, Attention to Detail, Process-Driven Mindset

📝 Enhancement Note: ServiceNow's interview process emphasizes data-driven decision-making, cross-functional collaboration, and cultural fit, with a focus on assessing candidates' technical proficiency and ability to thrive in a global, dynamic environment.

🛠 Technology Stack & Web Infrastructure

Data Analysis and Visualization:

Excel (pivot tables, advanced formulas, VBA macros)
SQL
Power BI, Tableau, or Grafana

Documentation Systems:

SharePoint
Internal portals or knowledge management systems

Infrastructure Management and System Administration:

Linux-based systems
ServiceNow platform
Network and power monitoring tools

📝 Enhancement Note: This role requires proficiency in data analysis, visualization, and reporting tools, as well as a strong understanding of infrastructure management, capacity planning, and system administration principles.

👥 Team Culture & Values

Data-Driven Decision-Making: Leverage AI integration, data visualization, and documentation systems to enhance infrastructure performance and drive operational excellence.

Cross-Functional Collaboration: Work closely with global stakeholders, including engineering, operations, and leadership teams, to ensure reliable systems, actionable insights, and well-governed knowledge management.

Continuous Improvement: Embrace a process-driven mindset, focusing on attention to detail and continuous refinement of internal systems, documentation, and workflows.

Customer Success: Collaborate with diverse teams to improve workflows, drive operational excellence, and enhance the customer experience.

📝 Enhancement Note: ServiceNow's culture emphasizes data-driven decision-making, cross-functional collaboration, and continuous improvement, with a strong focus on driving customer success through innovative, AI-enhanced workflows.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Analysis and Modeling: Develop and maintain complex data models, forecasting tools, and reporting dashboards to support global data center operations.
Cross-Functional Collaboration: Work closely with diverse teams, including engineering, operations, and leadership, to ensure reliable systems, actionable insights, and well-governed knowledge management.
Infrastructure Management: Monitor and optimize global data center performance, capacity, and power/cooling trends to support capital and operational decision-making.

Learning & Development Opportunities:

Technical Skill Development: Enhance your expertise in data analysis, visualization, and reporting through training, certifications, or online resources.
Career Progression: Pursue opportunities in technical leadership, architecture, or management roles within the Global Cloud Services organization or other teams across ServiceNow.
Cross-Functional Collaboration: Expand your influence and impact by working closely with diverse teams, driving data-driven decision-making and improving workflows.

📝 Enhancement Note: This role offers significant technical challenges and growth opportunities for candidates with strong data analysis, infrastructure management, and cross-functional collaboration skills.

💡 Interview Preparation

Technical Questions:

Data Analysis and Modeling: Describe your experience with data analysis, visualization, and reporting, focusing on complex datasets, forecasting tools, and actionable insights.
Cross-Functional Collaboration: Discuss your track record of working with diverse teams, including engineering, operations, and leadership, to drive data-driven decision-making and improve workflows.
Infrastructure Management: Explain your approach to monitoring, optimizing, and capacity planning for global data centers, focusing on power/cooling trends, performance metrics, and actionable insights.

Company & Culture Questions:

Data-Driven Decision-Making: Describe how you've leveraged AI integration, data visualization, and documentation systems to enhance infrastructure performance and drive operational excellence.
Cross-Functional Collaboration: Discuss your experience working with diverse teams, focusing on communication, collaboration, and driving customer success.
Customer Success: Explain how you've contributed to improving workflows, driving operational excellence, and enhancing the customer experience through data-driven decision-making and cross-functional teamwork.

Portfolio Presentation Strategy:

Data Analysis and Modeling: Present a data analysis project or case study, demonstrating your ability to conduct detailed data analysis, visualization, and reporting.
Cross-Functional Collaboration: Highlight your experience working with diverse teams, focusing on communication, collaboration, and driving customer success.
Infrastructure Management: Showcase your expertise in monitoring, optimizing, and capacity planning for global data centers, focusing on power/cooling trends, performance metrics, and actionable insights.

📝 Enhancement Note: ServiceNow's interview process emphasizes data-driven decision-making, cross-functional collaboration, and cultural fit, with a focus on assessing candidates' technical proficiency and ability to thrive in a global, dynamic environment.

📌 Application Steps

To apply for this Staff Infrastructure Data Systems Engineer position:

Submit Your Application: Click the 'Apply' button on the job listing to submit your resume and cover letter.
Prepare Your Portfolio: Highlight your proficiency in data analysis, visualization, and reporting through previous projects. Showcase your experience with infrastructure management, capacity planning, and system administration.
Research ServiceNow: Familiarize yourself with ServiceNow's products, services, and culture to demonstrate your enthusiasm and fit for the role.
Prepare for Technical Interviews: Brush up on your Excel, SQL, and data visualization skills, focusing on advanced techniques and large datasets. Familiarize yourself with ServiceNow, Linux-based systems, and documentation systems (SharePoint). Prepare for behavioral questions focused on cross-functional collaboration, data-driven decision-making, and problem-solving.

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

Staff Infrastructure Data Systems Engineer