- Location
- Lisbon, Lisbon, Portugal · published
- Type
- Full-time
- Department
- IT
- Source
- Workable
Description
About the Role
Zyte is looking for a Quality Engineer to join our unified Quality Engineering function. This is an automation-first, AI-native role embedded directly within our engineering squads.
You will be responsible for designing risk-based test strategies, rapidly converting them into automated checks using AI-assisted development workflows, and continuously improving the quality, speed, and reliability of software delivery. Quality at Zyte is not a gatekeeping function. It is an engineering discipline focused on preventing defects, accelerating delivery, and increasing confidence in every release.
AI coding agents are a core part of how we work. You will be expected to use Claude Code or equivalent AI-assisted development environments as your primary development partner for generating, reviewing, debugging, refactoring, and maintaining automation code.
What You Will Do
- Design risk-based test strategies for new features and releases, then rapidly convert those strategies into automated coverage using AI-assisted development workflows
- Use Claude Code within VS Code or equivalent AI coding agents as your primary development environment to generate, scale, and maintain automated test coverage
- Build and maintain automated test suites using Playwright, integrated within GitHub CI/CD pipelines, ensuring quality gates are embedded throughout the software development lifecycle
- Design and implement agentic testing workflows that generate, adapt, and maintain automated tests using AI models and APIs
- Build reusable frameworks, utilities, shared libraries, and AI-powered tools that increase test authoring velocity across engineering teams
- Partner closely with engineers, product managers, and designers to shift quality left, influencing requirements, design decisions, observability, and deployment strategies
- Continuously improve test suite health by reducing flakiness, increasing execution speed, and ensuring reliable quality signals for every release
- Drive quality upstream by identifying risks early and implementing preventative quality practices
- Own and improve quality metrics including automated coverage growth, escaped defects, test execution performance, flakiness rates, and release confidence
- Enable developers to write, execute, and maintain automated tests as part of their daily workflow