Build quality into every product and help shape the future of AI-powered software.

As a quality engineer at Gallup, you'll help deliver software our clients can trust by partnering with product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of the software development life cycle. Rather than simply executing test cases, you'll apply systems thinking to identify risks, develop thoughtful validation strategies and help ensure every release delivers an exceptional customer experience. As Gallup continues to expand its AI-powered products, you'll also have opportunities to contribute to testing intelligent workflows and emerging AI capabilities.

What You’ll Do

• Develop a deep understanding of product features, customer workflows, system interactions, APIs, data flows, integrations and technical dependencies to identify quality risks and determine the most effective validation strategy
• Collaborate within Gallup's Product Operating Model alongside product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of product development
• Design, execute and maintain manual and automated tests across user interfaces, APIs, integrations and end-to-end workflows
• Develop and maintain automated test suites using Playwright or comparable modern automation frameworks
• Perform exploratory, regression, smoke and end-to-end testing to uncover system risks and validate critical customer experiences
• Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback throughout development
• Troubleshoot automation failures and partner with engineering teams to improve test stability, reliability and automation coverage
• Create and maintain test plans and traceability that reflect product intent, customer impact and overall validation strategy
• Support production validation and investigate customer-reported issues when needed
• Continuously improve quality engineering practices, automation capabilities and release confidence

What Makes You Stand Out

• Systems thinking: You naturally connect product features, APIs, integrations and customer workflows to identify risks before they become production issues.
• Quality-first mindset: You view quality engineering as an integral part of software development and proactively build quality into products rather than testing only at the end.
• Automation expertise: You develop maintainable, scalable automated testing solutions that improve release confidence and accelerate delivery.
• Collaborative partnerships: You build strong relationships across Product, Engineering and Design teams, communicating effectively to solve complex problems and improve outcomes.
• Continuous learning: You embrace emerging technologies, modern testing approaches and AI-enabled engineering practices while continually expanding your technical expertise.

What You Need

• Bachelor's degree in computer science, computer engineering, information systems or a related field, or equivalent professional experience required
• At least three years of experience in quality engineering, including both functional and automated testing, required
• Experience testing web applications and REST APIs required
• Experience developing automated tests using Playwright, Cypress, Selenium or comparable automation frameworks required
• Experience working within Agile software development teams required
• Familiarity with Git and CI/CD pipelines required
• Experience using test management platforms such as QMetry, Azure DevOps Test Plans or TestRail required
• Experience with TypeScript/JavaScript and/or Python preferred
• Experience with SQL and database validation preferred
• Experience with cloud platforms such as AWS or Azure preferred
• Experience with performance, security or data quality testing preferred
• Experience contributing to automation frameworks and reusable testing utilities preferred
• Experience testing AI-powered applications, chatbots, copilots or intelligent workflows preferred
• Experience testing Large Language Models (LLMs) preferred
• Familiarity with prompt engineering, AI evaluation methodologies or evaluation frameworks such as Promptfoo, DeepEval, Ragas or LangSmith preferred
• A commitment to working on-site at Gallup’s Omaha office at least three days per week required
• Eligibility to work in the U.S. required; this position is not eligible for employment visa sponsorship

About Gallup

At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.

Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $70,000-$90,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.

Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.

To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.

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