QA Product Engineer II Automation & Quality Systems

Overview We are seeking a QA Product Engineer to support and enhance the systems that enable quality validation for our ArcGIS desktop products. This role focuses on owning and supporting existing automation, test infrastructure, and analysis workflows. This is a hands-on role centered on ensuring reliable, consistent execution of QA processes across multiple products. You will work closely with QA and development teams to operate testing systems, troubleshoot issues, and identify opportunities to improve efficiency and reduce friction through incremental enhancements. Responsibilities Execution & QA Systems Own and support automated testing and analysis workflows across multiple products Execute and monitor recurring test runs, ensuring consistent and reliable results Configure test runs, environments, and dependencies based on product needs Run and manage static analysis scans (such as Coverity) and generate reports Triage analysis results, identifying actionable issues versus false positives Automation & Tooling Maintain and update Jenkins pipelines used for testing and analysis workflows Create and modify pipeline jobs and supporting scripts as needed Enhance workflow efficiency by tuning configurations and improving automation Assist in integrating QA processes into CI/CD systems Troubleshooting & Environment Support Investigate and resolve issues in automation, pipelines, and test execution Set up, reimage, and maintain test machines and environments Troubleshoot environment-related issues impacting testing reliability Support tool updates, configuration changes, and system stability improvements Requirements 2+ years of experience in software development, QA, or a related technical field Experience working with CI/CD systems or automated test workflows (Jenkins preferred) Proficiency in at least one programming or scripting language (such as C#, Java, or Python) with the ability to read and understand code Experience working with static analysis tools (Coverity preferred) or similar tools (such as SonarQube, Polyspace) Understanding of software quality concepts, including code quality, defect identification, and basic security considerations (such as common CWE types) Strong troubleshooting and problem-solving skills across automation, environments, and test systems Ability to manage priorities and tasks in a fast-paced environment Self-motivated with an interest in continuous learning Bachelor's degree in computer science, computer engineering, or a related field Recommended Qualifications Experience with static analysis tools such as Coverity, SonarQube, or similar Proficiency in scripting (such as Python) for automation, tooling, or reporting Familiarity with software testing workflows, SDLC, and "shift-left" quality practices Familiarity with source control (Git), build systems, and CI/CD workflows Experience working with or supporting automated test frameworks Experience managing or maintaining test environments, lab machines, or virtual machines Experience troubleshooting issues in automation pipelines, test execution, or system environments Previous experience working in a fast-paced software development environment #LI-AL1 #LI-Onsite The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here. If you don't meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.