Principal Software Engineer

Posted 2 Hours Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
Remote or Hybrid
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Architect and deliver AI-native, large-scale distributed systems and platform capabilities for Service Operations. Lead technical direction, design reusable frameworks, enable AI-assisted and autonomous workflows, ensure reliability, observability, data quality, and mentor engineering leaders across teams.
Summary Generated by Built In
Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Job Description
Principal Software Engineer
The engineering organization is a dynamic group of builders, thinkers, and problem-solvers focused on delivering scalable, AI-powered software products that improve how organizations work. We value clean architecture, intuitive experiences, operational excellence, and a culture of continuous improvement. Every engineer plays an important role in shaping the quality, reliability, and long-term success of our products.
About the Team:
The Service Operations Business Unit brings together IT Service Management (ITSM), IT Operations Management (ITOM), and CMDB capabilities on the ServiceNow Platform. This product engineering organization builds the software that helps customers deliver resilient, intelligent, and efficient enterprise services.
The Service Operations product portfolio connects incident, request, fulfillment, infrastructure visibility, service mapping, trusted configuration data, automation, and AIOps into a unified operating model. By combining service delivery with operational intelligence and trusted operational context, these products help customers move toward proactive, AI-assisted, and increasingly self-healing operations at enterprise scale.
Together, these capabilities help customers modernize how they deliver and operate services, improve reliability, reduce manual effort, and drive measurable productivity outcomes on a single platform.
What you get to do in this role:
As a Principal Software Engineer, you will architect and build assistive and autonomous AI-native products that help our customers' IT departments move into an agentic-first era. The work will span large-scale distributed systems, data ingestion, enterprise context creation and utilization, agentic harnesses, cost optimization, agentic feedback loops, and enterprise-grade user experiences.
This role requires thought leadership, deep technical expertise, strong architectural judgment, and the ability to translate business requirements into product capabilities through experimentation.
Responsibilities include:
  • Define and drive the technical direction for AI-native Service Operations product capabilities that support proactive, reliable, and increasingly autonomous enterprise workflows.
  • Architect scalable, reliable, and extensible systems that power service delivery, operational intelligence, automation, data processing, discovery, visibility, and AI-assisted experiences.
  • Lead the design of core frameworks and platform capabilities that enable teams to build consistent, intelligent, and highly reliable products across the Service Operations portfolio.
  • Help shape how AI agents, automation, operational data, trusted configuration context, and human workflows come together to improve service reliability, reduce manual effort, and increase productivity.
  • Partner with product, design, platform, and engineering leaders to translate Service Operations Business Unit strategy into clear technical roadmaps and executable delivery plans.
  • Drive large-scale technical initiatives from concept through delivery, balancing customer value, scalability, reliability, security, data quality, engineering velocity, and long-term maintainability.
  • Establish architecture patterns, engineering standards, and best practices for distributed systems, platform services, observability, performance, data quality, and production readiness.
  • Build and evolve systems that support proactive, predictive, AI-assisted, and agentic workflows across enterprise environments.
  • Make clear technical trade-offs, including what should be solved now, what should be deferred, and what should not be solved.
  • Design and develop reusable software components and frameworks that improve engineering velocity and product consistency across teams.
  • Guide teams through complex technical decisions, design reviews, code reviews, architecture trade-offs, migration planning, and execution risks.
  • Mentor senior engineers and technical leaders, helping raise the bar for engineering craftsmanship, systems thinking, operational excellence, and long-term ownership.
  • Foster a culture of continuous learning, innovation, quality, accountability, and thoughtful use of AI across the engineering organization.
  • Help teams adopt AI-powered tools and automation to improve engineering productivity, product reliability, and speed of innovation.

Qualifications
To be successful in this role, you have:
Core Engineering Experience
  • 15+ years of related engineering experience, or equivalent practical experience.
  • Strong experience building and operating large-scale distributed systems, enterprise platforms, workflow systems, data-intensive products, integration frameworks, or cloud-scale infrastructure.
  • Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness.
  • Strong technical depth in Java, Python, or similar programming languages.
  • Strong knowledge of data structures, algorithms, object-oriented design, design patterns, API design, and performance optimization.
  • Ability to troubleshoot complex systems and optimize performance across application, service, data, and infrastructure layers.
  • Familiarity with automated testing, CI/CD, performance testing, operational readiness, and modern engineering tools.

Principal-Level Leadership
  • Proven ability to define technical direction, influence architecture across teams, and translate ambiguous product strategy into executable engineering plans.
  • Ability to operate as a Principal IC by leading through technical credibility, collaboration, and influence rather than formal authority.
  • Experience driving alignment across multiple teams, resolving technical ambiguity, and making high-impact architecture decisions.
  • Ability to balance long-term architecture with pragmatic execution, customer impact, and business priorities.
  • Experience mentoring senior engineers, raising engineering standards, and building reusable patterns that create leverage across teams.
  • Strong judgment in deciding what to build, what to simplify, what to defer, and what not to solve.

AI-Native and Automation Experience
  • Experience with AI-powered products, automation platforms, AI-assisted workflows, or agentic systems is strongly preferred.
  • Ability to think critically about how AI can be integrated into enterprise workflows, decision-making, operations, and user experiences.
  • Experience designing or validating AI-assisted systems, including data quality, workflow correctness, model output evaluation, inference consistency, observability, safety controls, or human-in-the-loop review.
  • Understanding of how to build reliable and trusted AI-assisted capabilities in enterprise environments.

Relevant Domain Experience
  • Experience with enterprise service management, IT operations, CMDB, discovery, service mapping, AIOps, observability, workflow automation, endpoint management, or operational intelligence is a strong plus.
  • Experience building products or platforms that connect operational data, workflow execution, automation, and user experiences is highly relevant.
  • Experience working with large-scale enterprise customers, production systems, and complex migration or modernization efforts is a plus.
  • Experience working closely with product, design, platform, and front-end engineering teams to deliver enterprise-grade product experiences is a plus.

Why Join Us
  • Build AI-native Service Operations products that help enterprises deliver, operate, automate, and continuously improve services at scale.
  • Shape the long-term technical direction for agent-assisted workflows, operational intelligence, trusted configuration context, automation, and enterprise service delivery on the ServiceNow Platform.
  • Work on large-scale product and platform capabilities across data ingestion, context creation, AI-assisted experiences, intelligent operations, discovery, visibility, and workflow automation.
  • Help define how AI agents, automation, and human workflows come together to create safer, more reliable, and more productive enterprise operations.
  • Collaborate with teams that value craftsmanship, quality, innovation, accountability, and shared ownership.
  • Use AI and automation tools to improve engineering excellence, product reliability, and developer productivity.
  • Be part of a culture that encourages continuous learning, technical leadership, and meaningful customer impact.

For positions in this location, we offer a base pay of $221,200 - $387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Skills Required

  • 15+ years of related engineering experience or equivalent practical experience
  • Strong experience building and operating large-scale distributed systems, enterprise platforms, workflow systems, or data-intensive products
  • Deep understanding of system design for scale, reliability, observability, fault tolerance, data quality, security, and production readiness
  • Strong technical depth in Java, Python, or similar programming languages
  • Strong knowledge of data structures, algorithms, object-oriented design, design patterns, API design, and performance optimization
  • Ability to troubleshoot complex systems and optimize performance across application, service, data, and infrastructure layers
  • Familiarity with automated testing, CI/CD, performance testing, and operational readiness
  • Experience with AI-powered products, automation platforms, AI-assisted workflows, or agentic systems
  • Experience with enterprise service management, IT operations, CMDB, discovery, service mapping, AIOps, or operational intelligence
  • Proven ability to define technical direction, influence architecture across teams, and translate product strategy into executable engineering plans

What the Team is Saying

Shanequa
Katya
Suzanne
Alexander
Jaime
Pat
Brady
Hasan
Jamil
Viviana

ServiceNow Compensation & Benefits Highlights

  • Healthcare Strength Multiple medical plan options, mental‑health resources, and strong coverage signals are emphasized. Fertility and family‑planning benefits further broaden the health package.
  • Leave & Time Off Breadth Flexible PTO, paid volunteer time, and company‑wide Wellbeing Days are highlighted. Paid holidays and shutdowns enhance recharge opportunities.
  • Equity Value & Accessibility Equity grants (RSUs) and an Employee Stock Purchase Plan are standard components of total rewards. Donation matching and learning support complement long‑term value building.

ServiceNow Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
29,000 Employees
Year Founded: 2004

What We Do

As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Why Work With Us

By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

ServiceNow Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.

Typical time on-site: Flexible
Company Office Image
HQSanta Clara, CA
Heredia
Ciudad de México
District of Columbia
Osaka
Aarhus, DK
Aarhus, DK
Company Office Image
Addison, TX
Amsterdam, North Holland
Atlanta, Georgia
Auckland, Auckland
Bangkok, Bangkok
Bengaluru, Karnataka
Bengaluru, Karnataka
Berlin, Berlin
Brasília, Federal District
Brisbane, Queensland
Brussels, BE
Cairo, Cairo Governorate
Canberra, Australian Capital Territory
Charlottesville, Virginia
Company Office Image
Chicago, IL
Deerfield, Illinois
Company Office Image
Denver, CO
Dubai, Dubai
Dublin, Leinster
Düsseldorf, Nordrhein-Westfalen
Frankfurt am Main, Hesse
Goteborg, Västra Götaland County
Gurugram, Haryana
Hamburg, Hamburg
Hanyang, Seoul
Helsinki, Uusimaa
Hong Kong, Hong Kong
Houston, TX
Hyderabad, Telangana
Issy-les-Moulineaux, Île-de-France
Johannesburg, Gauteng
Kirkland, WA
Lausanne, Vaud
Lille, Hauts de France
London, England
London, England
Madrid, Community of Madrid
Melbourne, Victoria
Milano, Lombardia
Milwaukee, WI
Company Office Image
Montréal, QC
Mumbai, Maharashtra
Munich, Bavaria
Company Office Image
New York, NY
Opfikon, Zürich
Orlando, FL
Oslo, Oslo
Perth, Western Australia
Petah Tikva, Central District
Company Office Image
Pleasanton, CA
Riyadh, Riyadh Province
Rome, Lazio
Company Office Image
San Diego, CA
San Francisco, Heredia
Company Office Image
San Francisco, CA
São Paulo, SP
Singapore, SG
Solna, Stockholm County
Sydney, New South Wales
Tokyo, Tokyo
Toronto, Ontario
Vancouver, British Columbia
Company Office Image
Vienna, VA
Vienna, AT
Company Office Image
Waltham, MA
Washington, DC
Wellington, Wellington
West Palm Beach, Florida
Learn more

Similar Jobs

ServiceNow Logo ServiceNow

Principal Software Engineer

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
Santa Clara, CA, USA
29000 Employees
218K-381K Annually

ServiceNow Logo ServiceNow

Principal Software Engineer

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
San Diego, CA, USA
29000 Employees
196K-343K Annually

ServiceNow Logo ServiceNow

Director, Technical Program Managment

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
San Diego, CA, USA
29000 Employees
199K-348K Annually

ServiceNow Logo ServiceNow

Manager, Software Engineering Management - ITAM

Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Remote or Hybrid
Santa Clara, CA, USA
29000 Employees
167K-291K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account