
- Work model
- Not specified
- Experience
- 3+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 10 tags
Technology context
10Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
Requirements
- 2-3+ years of experience in manual testing, solid technical IT background
- Strong understanding of the SDLC&TDLC
- Practical knowledge of different testing types and when to apply each
- Experience creating test cases and test documentation
- Experience in API testing (Postman, Swagger, or similar)
- Experience working in a Scrum team
- Understanding of SQL syntax; basic knowledge of HTTP, HTML, XML/JSON
- English: Upper-Intermediate (spoken and written)
AI skills
- Practical experience working with AI agents in QA processes: configuring an agent for a specific task (skill books, instructions)
- Experience writing effective prompts for AI tools
- Experience applying AI for requirements/user story analysis - identifying gaps, ambiguities, missing acceptance criteria
- Understanding of how to build an agentic flow: an agent executes a clearly defined task and automatically generates a report/documentation upon completion
Nice to have
- Basic knowledge or experience with automated testing
- Experience on AI/ML-related projects
- Experience with MCP (Model Context Protocol) or similar tools for integrating AI agents with work systems (Jira, TestRail, Confluence)