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описание
The team develops enterprise-grade financial technology solutions.
задачи
Design, develop, and maintain automated tests for UI, API, and service integrations
Build and maintain automation frameworks using Playwright and/or Selenium
Develop end-to-end and integration test suites for critical business workflows
Integrate automated tests into GitLab CI/CD pipelines, including regression execution and quality gates
Improve automated test coverage and reduce manual testing
Investigate test failures, perform root-cause analysis, and work with development teams to resolve defects
Implement data validation, reconciliation, and performance checks where appropriate
Maintain test cases, test runs, coverage, and traceability in TestRail
Manage defects and collaborate with the team through Jira
Contribute to test architecture, automation strategy, and continuous improvement of QA practices
Apply AI-assisted engineering approaches to improve test creation, maintenance, analysis, and defect triage
требования
4+ Years of experience in QA Automation / Software Testing
Strong hands-on experience with Playwright and/or Selenium
Experience with API testing and REST services
Strong understanding of end-to-end and integration testing
Experience integrating automated tests into CI/CD pipelines, preferably GitLab
Good programming skills in TypeScript/JavaScript, Java, or Python
Experience with TestRail or similar test management tools
Experience with Jira and defect management
Strong debugging and root-cause analysis skills
Experience building or maintaining scalable and maintainable automation frameworks
Hands-on experience using AI tools in software development or testing
Practical experience with AI coding assistants or agents
Experience with agentic workflows, MCP, or AI-assisted engineering
Understanding of LLM-based solutions and their evaluation
Excellent command of English (B2+) and ability to work effectively in a distributed engineering team
Будет плюсом: Experience with LangGraph, LangChain, or similar frameworks; experience building AI evaluation/test harnesses or applying MLOps practices