QA Engineer – Backend, Frontend

🔥 3 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 11%

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Qu POS

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏨 Hospitality

🍽️ Food & Beverage

📦 Logistics

Hospitality • Food & Beverage • Logistics

Qu POS is a technology company that provides a unified commerce platform for quick service and fast casual restaurant chains. Their platform integrates point of sale (POS), online ordering, drive-thru kiosks, and third-party marketplace connections to create seamless on- and off-premise ordering experiences. This enables restaurant operators to manage multi-channel and menu ecosystems efficiently, enhancing brand loyalty and operational accuracy. By leveraging data-rich insights, Qu POS aims to revolutionize restaurant commerce by moving operations into the digital age, focusing on scalability and growth.

📋 Description

• Review and approve AI-proposed test cases from story acceptance criteria in AIO Tests • Tighten vague test steps and add missing negative and edge cases • Review story test plans before development, selecting appropriate unit, API, end-to-end, or manual test levels • Decide which existing tests to reuse, update, or retire • Review, debug, and fix backend API and frontend UI tests written in TypeScript and Playwright • Maintain shared fixtures, page objects, API clients, and a focused smoke suite • Run exploratory testing and manual test cases • Sign off stories using smoke-test, story-test, and AIO Tests pipeline results • Test end-to-end flows across POS, web ordering, in-store server, and kitchen display services • Test scheduled and multi-channel orders • Investigate failing, flaky, and blocked tests and distinguish environment, test-data, and product issues • Improve test plans and cases when test issues are identified • Provide feedback to improve AI-generated test cases and tests • Answer testing questions during story refinement • Partner with developers and product managers on release validation • Own test-case approval before development and story sign-off after test results are available

🎯 Requirements

• 4+ years in QA or Quality Engineering, with hands-on experience in both manual testing and test automation • Strong test design and exploratory testing skills • Ability to turn acceptance criteria into clear test cases • Ability to identify edge and negative cases • Ability to write defect reports with precise reproduction steps • Knowledge of unit, integration, API, and end-to-end test levels and when to use each • Hands-on UI and API automation experience with Playwright, Cypress, or Selenium • Experience with Page Object Model, REST APIs, and JSON payloads • Programming skills in TypeScript or JavaScript, or another language such as Java or Python with readiness to work in TypeScript • Ability to review and fix test code written by others • Experience with CI/CD pipelines, ideally Azure DevOps • Experience with Git and pull request reviews • Experience debugging flaky tests and environment issues • Hands-on experience reviewing AI-generated test cases, tests, or code and evaluating them based on evidence • Clear written and spoken English • Experience working in Agile/Scrum teams • Bonus: experience with agentic development tools such as Kiro or AI-first delivery workflows • Bonus: experience with test-first development (TDD) • Bonus: experience with restaurant technology, POS, kitchen display systems, or online ordering • Bonus: experience testing systems where on-premise components sync with cloud services • Bonus: experience with AIO Tests or TestRail • Bonus: PowerShell or other scripting for Windows test environments • Bonus: ESLint, Prettier, and pre-commit hooks experience • Proactive mindset with ownership and accountability • Passion for quality, automation, and continuous improvement • Strong analytical thinking and creative problem-solving • Comfort working in a fast-paced environment with evolving priorities • Curiosity about AI-assisted software development and careful verification of AI output • Team-oriented approach to partnering across Engineering, Product, and QA

🏖️ Benefits

• Fun, dynamic, and diverse culture celebrating team and individual success • Mostly virtual work environment • Collaboration on leading-edge software solutions • Opportunity to work with modern technologies, automation, and AI-assisted engineering practices

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