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> Djinni

QA Engineer

format:Remotetype:Full-time
postmanswaggersqljiragithub actionsgitlab ci/cdjenkinsplaywrightgithub copilotchatgptcursorclaude codeprompt engineering
ai agentsmcpweb testing
domainEcommerce
> full description

We are looking for an AI-Augmented QA Engineer to join our team for a long-term project.

 

Project

A SaaS-based, data-driven eCommerce platform built on AI-powered, fully cloud-native technology for the North American market.

 

Main QA Skills

  • Strong knowledge of software testing principles
  • Test case design and exploratory testing
  • Web application and API testing
  • Regression, integration and end-to-end testing
  • REST API testing: Postman, Swagger/OpenAPI
  • SQL and database validation
  • Jira або інша bug-tracking система
  • Git
  • CI/CD: GitHub Actions, GitLab CI або Jenkins

 

AI Skills and Experience

  • Hands-on experience using AI coding assistants such as GitHub Copilot, Claude, ChatGPT, Cursor, or similar tools in daily QA activities.
  • Ability to use AI to design comprehensive test scenarios, including functional, negative, boundary, and edge cases.
  • Experience generating, reviewing, debugging, and refactoring automated tests with AI assistance.
  • Ability to use AI tools to develop and maintain Playwright-based UI and API automation.
  • Experience using AI to analyze application logs, stack traces, failed tests, and CI/CD pipeline results.
  • Ability to transform requirements, user stories, acceptance criteria, and reported defects into structured test cases and automated tests.
  • Experience using AI to generate realistic test data and identify missing test coverage.
  • Ability to create clear and effective prompts and provide AI tools with appropriate technical context.
  • Strong critical-thinking skills and the ability to validate AI-generated code and recommendations rather than relying on them without review.

     

Nice to Have

  • Experience with AI agents, Playwright MCP, or agent-based browser automation.
  • Experience creating reusable AI workflows, prompts, or custom instructions for QA activities.
  • Familiarity with AI-assisted exploratory testing and automated failure classification.
  • Experience using AI to identify, investigate, and reduce flaky tests.
  • Experience testing AI-powered or LLM-based product features, including evaluation of output quality, consistency, and failure scenarios.

 

We Offer

  • Full-time remote position
  • Long-term project
  • Opportunity to work with modern cloud-native and AI-powered technologies
  • Friendly and professional international team