Description
No description provided.
Responsibilities
•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
Requirements
•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
Nice to have
•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
Conditions
No conditions specified in the posting.
