Staff Quality Performance Engineer

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
We are seeking an experienced Performance Engineer with a proven ability to develop innovative tools and technologies for validating the performance and scalability of large-scale enterprise systems. As a key member of our Shared Performance Engineering team, you will lead benchmarking and testing efforts to ensure our products meet the evolving needs of our largest customers.
You will design and execute comprehensive performance testing strategies, develop advanced mock testing frameworks to simulate real-world workloads, and integrate AI-powered tools to enhance testing automation, operational efficiency, and decision-making. Your work will involve close collaboration with architecture, development, and DevOps teams to identify and resolve performance bottlenecks through root cause analysis and data-driven insights.
Passionate about automation, you will build and apply frameworks that measure complex system behaviors under dynamic loads. Working in a fast-paced, innovative environment, you will drive continuous improvements in testing methodologies, ensuring reliability, scalability, and quality of service for mission-critical applications.
Enable peers in engineering, customer support, and cloud teams to leverage tools built to provide related services
Qualifications

• 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.
• Deep knowledge and hands-on experience with AI technologies, including assessing the performance, tuning, and scaling of AI-driven products.
• 8+ years of experience in performance engineering/testing of large-scale, cloud-native applications running on container platforms across multiple production environments.
• Proven expertise in benchmarking system and database performance, capacity sizing, tuning, and optimization.
• Strong hands-on experience designing and developing mock testing frameworks and automation tools.
• Experience integrating performance testing into CI/CD pipelines with DevOps practices.
• Proficient in advanced load testing tools such as JMeter, BlazeMeter, or equivalents, with expertise in scripting and workload modeling.
• Skilled in database performance engineering (tuning, query analysis, scaling), Java/JVM performance tuning, OS performance monitoring, and system architecture.
• Experience with Big Data analytics, network monitoring, Splunk, WebPageTest, and other innovative tools; adept at leveraging AI advancements to streamline processes and enhance performance monitoring.
• Familiarity with AI/ML system performance testing, with a focus on evaluating scalability, responsiveness, and efficiency of AI-enabled applications and machine learning models.
• Solid understanding of concurrency, multithreading, and distributed system architectures.
• Deep knowledge and expertise in architectural-level performance tuning and recommendations.
• Strong analytical and problem-solving skills with a passion for learning new technologies.
• Excellent communication, collaboration, time management, and interpersonal skills.
• BS/MS degree in Computer Science or a related technical discipline.

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, 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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