QA Engineer – Backend, Frontend

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Evaluate and authorize AI-suggested test cases derived from story acceptance criteria in AIO Tests.

• Refine ambiguous test steps and incorporate any missing negative and edge scenarios.

• Assess story test plans prior to development, determining suitable unit, API, end-to-end, or manual testing levels.

• Make decisions on the reuse, revision, or retirement of existing tests.

• Review, troubleshoot, and resolve backend API and frontend UI tests developed in TypeScript and Playwright.

• Manage shared fixtures, page objects, API clients, and maintain a focused smoke suite.

• Conduct exploratory testing alongside manual test cases.

• Approve stories based on smoke-test, story-test, and AIO Tests pipeline results.

• Validate end-to-end processes across POS, web ordering, in-store servers, and kitchen display services.

• Test scheduled and multi-channel orders.

• Investigate failing, flaky, and blocked tests, identifying environment, test-data, and product-related issues.

• Enhance test plans and cases upon identifying testing challenges.

• Provide insights to refine AI-generated test cases and testing processes.

• Address testing inquiries during story refinement sessions.

• Collaborate with developers and product managers on release validation.

• Take ownership of test-case approval prior to development and sign off on stories after receiving test results.

⛳️ Requirements

• Over 4 years of experience in QA or Quality Engineering, with practical expertise in both manual testing and test automation.

• Proficient in test design and exploratory testing methodologies.

• Ability to convert acceptance criteria into well-defined test cases.

• Skill in identifying edge cases and negative scenarios.

• Competence in writing defect reports with accurate reproduction steps.

• Familiarity with unit, integration, API, and end-to-end test levels, and knowledge of when to apply each.

• Practical experience in UI and API automation using Playwright, Cypress, or Selenium.

• Knowledge of Page Object Model, REST APIs, and JSON payloads.

• Programming proficiency in TypeScript or JavaScript, or other languages such as Java or Python, with a willingness to work in TypeScript.

• Capability to review and correct test code developed by others.

• Experience with CI/CD pipelines, preferably Azure DevOps.

• Familiarity with Git and conducting pull request reviews.

• Experience in troubleshooting flaky tests and environmental issues.

• Hands-on experience in evaluating AI-generated test cases, tests, or code based on evidence.

• Strong written and verbal communication skills in English.

• Experience working within Agile/Scrum teams.

• Bonus: familiarity with agentic development tools such as Kiro or AI-first delivery workflows.

• Bonus: experience with test-first development (TDD).

• Bonus: knowledge of restaurant technology, POS systems, kitchen display systems, or online ordering platforms.

• Bonus: experience testing systems where on-premise components synchronize with cloud services.

• Bonus: experience with AIO Tests or TestRail.

• Bonus: proficiency in PowerShell or other scripting for Windows testing environments.

• Bonus: experience with ESLint, Prettier, and pre-commit hooks.

• Proactive mindset with a sense of ownership and accountability.

• Passion for quality assurance, automation, and continuous improvement.

• Strong analytical skills and creative problem-solving abilities.

• Ability to thrive in a fast-paced environment with shifting priorities.

• Curiosity regarding AI-assisted software development and commitment to verifying AI outputs.

• Collaborative approach to working across Engineering, Product, and QA teams.

🏝️ Benefits

• A fun, dynamic, and diverse culture that celebrates both team and individual achievements.

• Predominantly virtual work environment.

• Engage in collaboration on cutting-edge software solutions.

• Opportunities to work with modern technologies, automation, and AI-assisted engineering methodologies.