Senior Software Quality Engineer at ServiceNow

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

213100.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quality Assurance, Java Programming, Selenium, JUnit, TestNG, JavaScript, Eclipse, Jenkins, Maven, Git, Testing Techniques, Automation, SDLC, Technical Discussions, Unix, System Administration

Industry

Software Development

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 We are the Quality Engineering team responsible for testing, validating, and ensuring the performance, reliability, and scalability of the Customer Service Management (CSM) product line. What you get to do in this role: Maintain and enhance existing automated testing frameworks Design and execute comprehensive test plans, including automation Collaborate with developers to define targeted testing strategies for new features Collect, analyze, and report quality metrics from test execution Support engineering teams in troubleshooting and resolving issues in applications and test environments 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. Proven ability to evaluate and thoughtfully integrate AI into workflows, decision-making, or problem-solving. This may include using AI-powered tools, automating processes, analyzing AI-generated insights, or assessing AI’s broader impact on teams or industries. 5+ years of experience in quality assurance with strong hands-on skills in Java programming, using tools such as Selenium, JUnit, and TestNG. 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience. Proficiency in JavaScript scripting, with experience using development tools like Eclipse, Jenkins, Maven, and Git. Solid understanding of a wide range of testing techniques (e.g., unit, integration, performance, automation), including when and how to apply each method effectively. Skilled in using technical tools such as IDEs, debuggers, build tools, version control systems, profilers, ServiceNow instances, and Unix/system administration utilities to support daily engineering tasks. Experience leading or participating in cross-team technical discussions, with a strong grasp of software development lifecycle (SDLC) principles. Experience driving cross-team technical discussions with an understanding of SDLC concepts For positions in this location, we offer a base pay of $125,300 - $213,100, 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, 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. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Responsibilities

Maintain and enhance existing automated testing frameworks while designing and executing comprehensive test plans. Collaborate with developers to define targeted testing strategies for new features and support engineering teams in troubleshooting issues.