[Hiring] Lead Python Test Automation Engineer @EPAM Systems

Role Description

We are looking for a Lead QA Automation Engineer with strong Python expertise and hands-on experience with AI-assisted engineering practices to join our engineering team. In this role, you will combine advanced test automation skills with a modern approach to AI-assisted software quality engineering, taking ownership of QA initiatives and driving improvements across the testing lifecycle.

You will work with LLMs and AI-assisted workflows to:

• Decompose complex QA tasks
• Create and manage engineering artifacts
• Improve test design and automation efficiency
• Critically evaluate AI-generated output

At the same time, you will apply strong engineering judgment to build reliable automation solutions and continuously improve QA practices.

Qualifications

• Strong commercial experience with Python and test automation
• Solid hands-on experience with Pytest, Pydantic, and Requests
• Strong 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
• Understanding of how 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, with the ability to work effectively with incomplete or evolving requirements
• Strong communication and stakeholder management skills, with the ability to drive improvements constructively and handle different perspectives
• High level of ownership, initiative, and ability to work independently

Requirements

• Experience with Faker, Locust, Allure TestOps, MySQL, or PostgreSQL
• Experience introducing or improving QA practices and automation frameworks within an established engineering environment
• Experience with performance or load testing
• Experience applying AI-assisted approaches to software quality engineering