python test automation engineer (auto) for AI-assisted quality engineering

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• Design, develop, and maintain automated tests for user-facing and back-office applications using Python and Pytest
• Develop and maintain UI and REST API automation, expanding automated coverage across application layers
• Apply AI-assisted engineering practices to test analysis, scenario design, automation development, documentation, and other QA activities
• Decompose complex QA and engineering tasks into clear, structured steps for AI-assisted workflows
• Create, use, and manage relevant artifacts within AI-assisted development and testing processes
• Analyze requirements, identify gaps and ambiguities, and translate them into clear, testable scenarios
• Apply Specification-Driven Development (SDD) principles and recognize common AI-assisted engineering anti-patterns
• Critically evaluate AI-generated output and validate its correctness, quality, and applicability
• Work with databases, perform SQL queries, and validate data programmatically
• Contribute to non-functional testing and broader QA automation initiatives
• Review and improve existing QA frameworks, processes, and automation practices
• Collaborate with developers, engineers, and stakeholders to introduce effective, sustainable QA approaches
• Take ownership of QA initiatives, identify improvement opportunities, and drive them through implementation

• Strong commercial experience with Python and test automation
• Hands-on experience with Pytest, Pydantic, and Requests
• Experience with UI automation, including Page Object Model, CSS selectors, and XPath
• Experience with REST API testing and Allure
• Practical understanding of modern LLMs, including their capabilities, limitations, and guardrails
• Experience applying AI tools in software engineering or QA workflows
• Ability to structure and decompose tasks for effective AI-assisted execution
• Ability to critically assess AI-generated code, test scenarios, documentation, and other artifacts
• Understanding of Specification-Driven Development (SDD) and common AI-assisted engineering anti-patterns
• Basic knowledge of SQL and relational databases
• Strong analytical and problem-solving skills, including working effectively with incomplete or evolving requirements
• Strong communication and stakeholder management skills, including driving improvements constructively and handling different perspectives
• High ownership, initiative, and ability to work independently
• Будет плюсом: experience with Faker, Locust, Allure TestOps, MySQL, or PostgreSQL; introducing or improving QA practices and automation frameworks in an established engineering environment; performance or load testing; applying AI-assisted approaches to software quality engineering

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