Senior Staff Software Quality Engineer

Summary

Join ServiceNow's Data Foundations QA team and lead the quality engineering strategy for AI-integrated features and services. You will partner with development teams, manage a team of 10+ QE engineers, and evaluate AI-powered features. Responsibilities include designing CI/CD pipelines, expanding automated test coverage, troubleshooting system issues, and collaborating with cross-functional teams. The ideal candidate possesses 12+ years of experience in quality assurance or application development, advanced knowledge of QE, and expertise in various testing techniques and tools. ServiceNow offers a competitive salary, equity, benefits, and a flexible work environment.

Requirements

• 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

Responsibilities

• 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

Benefits

• Health plans, including flexible spending accounts
• A 401(k) Plan with company match
• ESPP
• Matching donations
• A flexible time away plan
• Family leave programs