Strong Middle AI-Native SDET

We are currently looking for an experienced Strong Middle AI-Native SDET

Role Level

What You’ll Do

• Design and develop API, UI and E2E tests for web and mobile applications.

• Use AI agents for code analysis, test development and refactoring, preparing test data, diagnosing failures and working with CI.

• Independently сhoose the appropriate verification level for each task and align debatable decisions with the team.

• Improve the existing test architecture through small, understandable and verifiable changes.

• Work with test data, CI, test reports and run artifacts.

• Investigate failures, eliminate sources of instability and maintain coverage as the product changes.

• Participate in code reviews and share discovered solutions with the team.

What Matters

• Practical experience using AI agents in development or automation: ability to define tasks, provide context and constraints, supervise execution and verify the results.

• Commercial automation experience with examples of tasks you have independently brought to regular CI runs.

• Strong programming skills in TypeScript/JavaScript or Python. Good knowledge of at least one of these languages is required.

• Practical experience with UI/E2E frameworks and API automation.

• Understanding of which level (API, UI or E2E) is best suited for automating a given check and the ability to explain your choice.

• Experience automating React Native apps with Detox, native iOS/Android apps with XCUITest/Espresso or Flutter apps with Maestro/Patrol.

• Experience with Git and CI/CD; ability to diagnose issues from code, logs, reports and artifacts.

• Ability to understand an existing project and its test architecture, decompose tasks and timely flag risks or missing context.

• Ability to independently validate changes with builds and targeted test runs and prepare them for code review.

• Technical English sufficient for reading requirements, documentation and code.

AI as a working tool

Tech stack

• AI tools: Codex, Claude Code, Copilot/Cursor and MCP integrations.
• The rest of the stack depends on the project: TypeScript/JavaScript, Python, Playwright, Detox, Appium, Patrol, Pytest, GitLab CI/CD, Docker, Allure, REST API, SQL, AWS.

Nice to Have

• Experience configuring workflows for AI agents: project instructions, skills, MCP integrations, helper scripts and quality gates.

• Experience with parallel runs, data isolation and test account factories.

• Load testing or visual regression testing.

• Experience with AWS services in test environments.