Middle QA Engineer
Bonapolia Warsaw, Masovian Voivodeship, Poland
IT Services and IT Consulting · 11-50 employees
About the role
Support quality assurance across data-intensive web applications and microservice-based platforms. Maintain existing test suites and contribute to automation initiatives while working with UI and API testing frameworks.
What they look for
Requirements
Requires at least 3 years of QA experience in enterprise or SaaS environments and 1 year of experience with AI-enabled products. Candidates must possess strong knowledge of testing methodologies, API testing, and AI output validation.
Full description
Project Description:The team is a high-impact group focused on building scalable tools that help organizations identify growth levers, optimize strategy, and maximize business value. The mission is to transform complex data into actionable insights through advanced technology and close collaboration with business stakeholders.
Project Phase:ongoing Soft Skills:
- Strong communication and collaboration skills within agile teams
- Ability to align testing strategies with business goals and data-driven workflows Hard Skills / Must Have: • Minimum 3 years of QA experience in enterprise or SaaS environments.
- Strong knowledge of testing methodologies, defect management, and quality metrics.
- Experience designing edge-case and negative test scenarios.
- Functional, regression, smoke, and UAT testing.
- Git and GitHub workflows.
- CI/CD concepts.
- API testing using Postman or curl.
- Docker.
- Multi-environment management (Alpha/Beta/Production).
- Allure reporting and test artifact analysis.
- Strong analytical, documentation, and problem-solving skills.
- Minimum 1 year of experience with AI-enabled products.
- Experience validating AI-generated outputs and AI-powered functionality.
- Ability to assess AI functionality for accuracy, consistency, reliability, usability, and business relevance.
- Knowledge of Generative AI, LLMs, AI copilots, and AI-assisted workflows.
- Experience testing AI-powered product features.
- Ability to evaluate AI-generated outputs.
- Experience using AI productivity tools.
- Understanding of prompt design, prompt testing, and AI output validation.
- Awareness of AI risks including hallucinations, bias, prompt sensitivity, and inconsistent responses. Hard Skills /
Nice to Have:
- Prior experience on financial, analytics, or data-heavy SaaS products • Basic SQL • Excel • PDF-based result verification
Responsibilities and Tasks
:• Support ongoing quality assurance across data-intensive web applications and microservice-based platforms
- Work with both UI and API testing frameworks across multiple stacks • Maintain existing test suites and contribute to automation initiatives
Technology Stack:Jira, Postman, SQL, CI/CD, QA automation basics, AI tools, Agile, Allure Interview stages
👍English: upper-intermediate
🌍 Location:
📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!
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