QA Engineer with AI

Dataforest is seeking a QA Engineer to join our team. If you’re a strong Manual QA who actively uses AI to generate test data and write basic checks faster — you’ve found the right place. We’d love to see your CV!

    What you'll do:

• Conduct manual testing of web applications, assessing both frontend UI/UX and backend API behavior.
• Perform functional, regression, integration, and exploratory testing throughout the entire SDLC.
• Perform API testing using Postman or similar tools.
• Perform database validation using SQL queries to verify data integrity, transformations, and backend logic.
• Using AI create and maintain test documentation (test cases, checklists, bug reports).
• Leverage AI assistants (e.g. Claude) to create automated API and E2E scripts to optimize manual QA workflows.
• Collaborate closely with developers and project managers to maintain high quality standards across the SDLC.
   

     You'll be a great fit if you have:

• 2+ years of hands-on QA experience with web applications built on modern JS frameworks (React, Vue, Angular, pure JS) and REST APIs.
• Active use of AI in your workflow: practical experience applying AI tools for automation, test case generation, or troubleshooting.
• API testing experience using Postman (collections, environments, basic scripts).
• SQL skills for database querying and data validation.
• Solid understanding of the Software Development Life Cycle (SDLC) and QA methodologies.
• Hands-on experience writing clean, comprehensive test documentation.
• Proficiency with teamwork tools: JIRA, Confluence, Git/Bitbucket.
• Strong communication skills and a positive, team-oriented mindset.
• English level: Intermediate (B1) or higher (strong written and spoken communication for daily team collaboration).
   

     Would be a plus:

• Experience testing Stripe, PayPal, or other third-party payment integrations.
• Basic understanding of CI/CD pipelines and how QA fits into automated delivery workflows.
• Experience testing data engineering projects: ETL pipelines, data warehouses, or data integration workflows.
• Experience with web scraping projects — understanding of scraping logic, data extraction validation, and edge case handling.
• Experience with AI/ML product testing — familiarity with testing LLM-based features, recommendation systems, or other non-deterministic outputs.
  
  We ensure your growth with:
• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.