Quality Engineer

About the Position

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.

Responsibilities

• 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.

Requirements

• 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.

Skills

• 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.

We Offer

• Estimated annual salary range of $80,000-$115,000.
• Robust benefits package including medical, dental, vision, life, and other insurance options.
• Fully vested 401(k) retirement savings plan with company matching.
• Employee stock ownership program.
• Family-building benefits.
• Employee assistance program.
• Various reimbursements and activities that enhance wellbeing.

About the Company

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 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.

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