Staff Software Quality Engineer

Summary

Join the AI Search Quality Engineering team at ServiceNow and contribute to a consumer-grade search experience that connects employees and customers with the information they need. You will maintain automation test frameworks, collect and report quality metrics, collaborate with developers on testing strategies, and create comprehensive test plans. The role involves troubleshooting applications and environments and driving cross-team technical discussions. This position requires extensive experience in quality assurance, application development, and leveraging AI in work processes. ServiceNow offers 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
• 8+ years professional experience in quality assurance or application development and in directing quality efforts within a scrum team of 4-6 QE engineers
• Experience in Java programming with Selenium, JUnit and TestNG, 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
• Advanced 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 an knowledge of SDLC concepts

Responsibilities

• Maintain existing automation test frameworks
• Collect and report quality metrics from test execution
• Work with developers to design specific testing strategies for features being developed and automate them
• Create comprehensive test plans; execute and automate them
• Partner with the engineering organizations in troubleshooting or addressing issues with applications and dev/test environments