We are a team of skilled and talented engineers who have been working professionally with data for many years. Analysis, modeling, processing, data science and operating the systems that we create is what we live and work for. And if we ever need a tool to improve the work we do, we develop it ourselves (Nestlogic ADP is a prime example).
12 травня 2026

Manual QA Engineer (вакансія неактивна)

Київ, Вінниця

We are an established U.S.-based product company providing a robust platform for healthcare financial management. Our system handles complex data processing, medical billing, and revenue cycle automation for large healthcare providers. We are looking for a disciplined Manual QA Engineer who values precision and understands the importance of data integrity in a high-stakes environment.

What you will do:

  • System Testing: Perform end-to-end, functional, and regression testing for a complex web-based financial platform.
  • Documentation: Design and maintain professional test documentation (Test Plans, Test Cases, and Checklists).
  • Quality Control: Identify, document, and track software defects; ensure every release meets strict quality and security standards.
  • Data Verification: Verify complex data flows and financial reports to ensure accuracy.
  • Collaboration: Work closely with the development team and stakeholders to ensure business requirements are met.

What we expect from you:

  • Education: A University degree in Computer Science, IT, or a related technical field is mandatory.
  • Experience: 3+ years of professional experience in manual testing (experience with financial or data-heavy products is a plus).
  • Methodology: Strong knowledge of Software Testing Life Cycle (STLC) and standard QA methodologies.
  • Technical Skills: Proficiency with bug-tracking systems, browser DevTools, and basic SQL knowledge (for data verification).
  • English: Intermediate (B1) level or higher for technical communication and documentation.

Soft Skills:

  • Critical Thinking: You must be able to analyze complex logic and find edge cases.
  • Attention to Detail: Precision is key when dealing with financial and medical data.
  • Responsibility: A structured approach to work and a high level of self-discipline.