{"id":2098134,"url":"https://alion.io/job/gallup-quality-engineer-3","title":"Quality Engineer","company":{"id":14492,"name":"Gallup","domain":"gallup.com","url":"https://alion.io/company/gallup","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Omaha, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70000,"max":90000,"currency":"USD","period":"year","gross":null,"usd_annual":90000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"DeepEval","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"LangSmith","optional":false},{"name":"Playwright","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Promptfoo","optional":false},{"name":"Python","optional":false},{"name":"Ragas","optional":false},{"name":"Rest API","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false},{"name":"TestRail","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-08T14:57:59Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-10T22:03:39Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Build quality into every product and help shape the future of AI-powered software.\nAs 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.\nWhat You’ll Do\nDevelop 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\nCollaborate 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\nDesign, execute and maintain manual and automated tests across user interfaces, APIs, integrations and end-to-end workflows\nDevelop and maintain automated test suites using Playwright or comparable modern automation frameworks\nPerform exploratory, regression, smoke and end-to-end testing to uncover system risks and validate critical customer experiences\nIntegrate automated tests into CI/CD pipelines to provide fast, reliable feedback throughout development\nTroubleshoot automation failures and partner with engineering teams to improve test stability, reliability and automation coverage\nCreate and maintain test plans and traceability that reflect product intent, customer impact and overall validation strategy\nSupport production validation and investigate customer-reported issues when needed\nContinuously improve quality engineering practices, automation capabilities and release confidence\nWhat Makes You Stand Out\nSystems thinking: You naturally connect product features, APIs, integrations and customer workflows to identify risks before they become production issues.\nQuality-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.\nAutomation expertise: You develop maintainable, scalable automated testing solutions that improve release confidence and accelerate delivery.\nCollaborative partnerships: You build strong relationships across Product, Engineering and Design teams, communicating effectively to solve complex problems and improve outcomes.\nContinuous learning: You embrace emerging technologies, modern testing approaches and AI-enabled engineering practices while continually expanding your technical expertise.\nWhat You Need\nBachelor's degree in computer science, computer engineering, information systems or a related field, or equivalent professional experience required\nAt least three years of experience in quality engineering, including both functional and automated testing, required\nExperience testing web applications and REST APIs required\nExperience developing automated tests using Playwright, Cypress, Selenium or comparable automation frameworks required\nExperience working within Agile software development teams required\nFamiliarity with Git and CI/CD pipelines required\nExperience using test management platforms such as QMetry, Azure DevOps Test Plans or TestRail required\nExperience with TypeScript/JavaScript and/or Python preferred\nExperience with SQL and database validation preferred\nExperience with cloud platforms such as AWS or Azure preferred\nExperience with performance, security or data quality testing preferred\nExperience contributing to automation frameworks and reusable testing utilities preferred\nExperience testing AI-powered applications, chatbots, copilots or intelligent workflows preferred\nExperience testing Large Language Models (LLMs) preferred\nFamiliarity with prompt engineering, AI evaluation methodologies or evaluation frameworks such as Promptfoo, DeepEval, Ragas or LangSmith preferred\nA commitment to working on-site at Gallup’s Omaha office at least three days per week required\nAbout Gallup\nAt 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.\nGallup 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.\nGallup 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.\nTo 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. 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