Responsibilities
Analyze requirements and specifications, define the test approach and test plan, and give test recommendations in sprint planning (feature, smoke and regression testing, both manual and automation)
Design, build and maintain automated tests for UI and API, and run them in the CI/CD pipeline
Use AI tools in daily testing work to speed up test design, scripting and failure analysis, and share what works with the team
Work closely with
developers, BAs,
product owners and clients to build quality in from the early stages, including in spec-driven or AI-assisted development
Support and guide junior team members, and take on test lead or technical lead duties when the project needs it
Contribute to improving test processes, tools and practices across projects
Perform other tasks assigned by the line manager
Qualifications
General requirements:
Bachelor's degree in IT, Computer Science or a related field
5+ years of experience in software testing, with solid hands-on experience in test automation
Experience guiding
testers or coordinating test activities in a Scrum team is a strong plus
Familiar with Agile development methodologies
Curious and quick to self-learn new technologies, especially AI tools and practices
Proactive, takes ownership, and comfortable joining new teams and new domains
Upper-Intermediate English (verbal and written), able to work directly with clients
Technical requirements
Good foundation in requirements analysis, test planning and test design techniques (black-box, risk-based, exploratory); hands-on testing of web UI and APIs (Postman or similar)
Hands-on experience building or maintaining automation frameworks with Playwright, Selenium or Cypress, plus API automation (REST Assured, Postman/Newman or Playwright API)
Good coding skills in one of TypeScript/JavaScript, Java, Python or C#, using POM and other design patterns
Experience running automated tests in CI/CD (GitHub Actions, GitLab CI, Jenkins or similar)
AI-augmented testing: hands-on use of AI tools (e.g. Copilot, Cursor, Claude Code) in testing work, with real examples such as:
generating test cases and test data from requirements, specs or API contracts
writing or refactoring automation scripts with AI
analyzing test failures and flaky tests with AI
Able to critically review and validate AI-generated output
Nice to have
Experience with Spec-Driven Development or structured specs (e.g. GitHub Spec Kit, Kiro, OpenAPI, BDD/Gherkin)
Building agentic test workflows with MCP (e.g. Playwright MCP, or connecting Jira/TestRail/Git)
Experience setting up a test process or automation framework from scratch for a new project
Testing AI/LLM-based features (prompt-response validation, hallucination and bias checks) with evaluation tools (Promptfoo, DeepEval, Ragas)
Using LLM APIs (OpenAI, Anthropic, Azure OpenAI) to build internal QA tools
Performance testing (k6, JMeter) or basic security testing
ISTQB certification