Senior QA Automation Engineer

About Techery

About the Project

• Standard e-commerce functionality
• A custom "Virtual Office" module for tracking MLM bonuses and user activity
• Full localization and regional support

• Define and implement QA strategy across the project
• Design and optimize testing approaches and processes
• Maintain and improve existing QA workflows
• Build and maintain agentic workflows for authoring and maintaining Playwright tests — prompts, context, guardrails, review loops
• Evolve and maintain the existing TypeScript / Playwright-based AQA framework
• Coordinate the work of QA engineers
• Set goals for the team and grow the team structure toward them
• Mentor team members toward becoming automation engineers
• Collaborate with other teams on company-wide AI transformation initiatives
• Sharing automation practices across projects
• Communicate with clients on quality-related matters

1. Strong programming fundamentals

• 3+ years of hands-on programming in any modern language (TypeScript / JavaScript, Kotlin, Python) — we care about engineering depth, not a specific stack
• Solid grasp of a static type system and how to use it for robust, self-documenting code
• Confident with asynchronous programming (async/await, promises/futures, concurrency) as it applies to tests
• Willing and able to work in a TypeScript / Node.js codebase

2. Test Automation with Playwright

• 2+ years of experience writing stable E2E and integration tests (Playwright, or a comparable modern E2E tool with readiness to switch)
• Experience with parallel test execution, configuring environments, and using fixtures
• Skilled in debugging tests using Playwright tools (e.g. trace viewer, debug mode)

3. Test Framework Architecture and Development

• 3+ years of experience, including building test frameworks from scratch or major refactoring and architectural improvements
• Deep knowledge and practical application of design patterns in automation, especially Page Object Model (POM), Fixture, Lazy Initialization, and Steps

4. Agentic Development (AI)

• Practical experience using coding agents (Claude Code, Cursor, Copilot or similar) as part of the daily engineering loop, not as a demo
• Ability to design agentic workflows: decompose a task for an agent, supply the right context, set guardrails, and verify the output
• Context engineering for a codebase — project rules/instructions files, skills, reusable prompts, MCP or tool integrations
• Sober judgement on where AI helps and where it does not: review of generated tests, flakiness and hallucination control, cost/benefit of automation

5. Improving Codebase Testability

• Experience working with React codebase to add or consult on adding stable test attributes (e.g. data-testid)
• Ability to read and understand Node.js code to write accurate API tests and analyze backend logic