Senior QA Engineer (AI-Native)

We are looking for a Senior QA Engineer with at least 5 years of experience who combines solid testing and automation skills with a modern, AI-first approach to software quality.

In this role, you will take ownership of testing web applications, build and maintain automation solutions, and use AI coding assistants to make testing faster, smarter, and more effective. We are looking for someone who is comfortable working hands-on with Python and modern testing frameworks, while using AI tools as an integral part of their daily workflow.

• Fully remote cooperation within the EU.
• B2B contract.
• Opportunity to work with modern AI-powered development and testing tools.
• Collaboration with an international engineering team.
• The opportunity to influence testing processes and automation strategy.
• A technically challenging project in the cybersecurity industry.

Zakres obowiązków

• Design, execute, and maintain manual and automated tests for web applications.
• Develop and improve test automation frameworks using Python.
• Use AI coding assistants to generate, refactor, and debug automated tests.
• Leverage AI to create test scenarios, test data, and identify edge cases.
• Perform UI, API, functional, regression, and exploratory testing.
• Identify, document, and track defects through resolution.
• Integrate automated tests into CI/CD pipelines.
• Collaborate closely with developers and product teams to improve software quality.

Wymagania

• At least 5 years of professional experience in software testing and quality assurance.
• Strong hands-on experience with Python and test automation.
• Experience with UI automation frameworks such as Playwright or Selenium.
• Practical experience using Claude Code, Codex, Gemini CLI, or similar AI coding assistants in daily development or testing workflows.
• Experience with API testing and test automation design patterns.
• Understanding of software development lifecycles, testing methodologies, and Agile practices.
• Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
• Ability to critically review, validate, and improve AI-generated code and test results.
• Good communication skills and a proactive approach to quality.

• Experience with pytest and its ecosystem.
• Familiarity with Pydantic for data validation.
• Experience with asynchronous testing in Playwright.
• Knowledge of performance testing tools such as Locust.
• Experience building automation frameworks from scratch.
• Familiarity with agentic AI workflows and AI-driven test automation.

Tech stack

• Testing
• Quality assurance
• Python
• Test automation
• UI
• Selenium
• Claude
• Gemini
• CLI
• AI
• API testing
• Design Patterns
• Agile
• CI/CD
• GitHub Actions
• GitLab CI
• Jenkins
• Communication skills
• pytest
• Pydantic
• Locust
• Playwright