Job description
Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
The Data Foundations QA team at ServiceNow focuses on ensuring the quality and accuracy of foundation data, which are essential for the platform’s functionality and business processes. This team works to guarantee that common data, like users, groups, locations, and organizational structures, are reliable and accurate, impacting various ServiceNow processes and workflows.
What you get to do in this role:
- Leading the QE Strategy & Execution
- Produce the overall quality strategy for AI-integrated features and services.
- Partner with development teams to define test plans, automation coverage, and release readiness criteria.
- Manage a team of 10+ QE engineers by prioritizing work, removing blockers, and fostering professional development.
- AI-Focused Quality Engineering
- Evaluate and test AI-powered features, including model validation, prompt testing, and workflow automation.
- Review AI-generated insights to identify trends and data-driven determinations.
- Partner with data teams to validate training pipelines and model outputs from a quality engineering perspective.
- Automation & CI/CD Integration
- Design and optimize CI/CD pipelines (e.g., Jenkins, Maven) to enable efficient, reliable test execution.
- Expand automated test coverage across APIs, services, and AI capabilities using tools such as JavaScript, PyTest, and others.
- Maintain and improve testing frameworks to ensure they remain scalable, reliable, and effective.
- System-Level Troubleshooting & RCA
- In-depth investigations into defects, outages, and regressions across environments.
- Leverage tools like profilers, debuggers, and Unix utilities to identify root causes and implement durable solutions.
- Cross-Team Collaboration
- Partner with product, architecture, and engineering stakeholders to ensure AI features are testable, resilient, and built with quality in mind.
- Contribute to and guide technical discussions that shape architectural determinations with quality implications.
- Continuous Improvement & Standards
- Evolve best practices in test design, code quality, and metrics tracking.
- Partner with the establishment and evolution of quality standards across engineering teams
Qualifications
To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
- 12+ years professional experience in quality assurance or application development
- 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
- Advanced knowledge of QE work
- Experience leading quality efforts within a scrum team of 10+ QE engineers
- Ability to diagnose issues, come up with a strategy for relief, permanent fix and RCA and implement it
- Knowledge of Cloud Dev. Platforms, Web Dev, Frameworks, and service-oriented architecture
- Ability to implement best practices and coding standards on role specific requirements (e.g. programming languages and tools, network design, functional design, algorithms, patterns, design and development, etc.)
- Fluency with scripting in JavaScript. Experience with Eclipse, Jenkin, Maven, and Git
- Experience with different testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect.
- Expert working knowledge and ability to use tools (such as IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) to assist with daily tasks
- Experience driving cross-team technical discussions with knowledge of SDLC concepts
For positions in this location, we offer a base pay of $162,600 - $284,600, 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. Learn more here.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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.
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