Lead Python Test Automation Engineer

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Lead Python Test Automation Engineer

Remote in Georgia, & 5 others

Automated Testing in Python& 2 others

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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, and 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.

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 different layers of the application

• 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 suitable for AI-assisted workflows

• Create, use, and manage relevant artifacts as part of 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 closely with developers, engineers, and stakeholders to introduce effective and sustainable QA approaches

• Take ownership of QA initiatives, proactively identify improvement opportunities, and drive them through implementation

Requirements

• 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

Nice to have

• 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