[Hiring] Quality Engineer @Zyte

Role Description

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 strategies into automated checks using AI-assisted development workflows.
• Continuously improving the quality, speed, and reliability of software delivery.
• Using Claude Code or equivalent AI-assisted development environments as your primary development partner.

What You Will Do

• Design risk-based test strategies for new features and releases, then rapidly convert those strategies into automated coverage.
• Use Claude Code within VS Code or equivalent AI coding agents to generate, scale, and maintain automated test coverage.
• Build and maintain automated test suites using Playwright, integrated within GitHub CI/CD pipelines.
• 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.
• Partner closely with engineers, product managers, and designers to shift quality left.
• Continuously improve test suite health by reducing flakiness and increasing execution speed.
• Drive quality upstream by identifying risks early and implementing preventative quality practices.
• Own and improve quality metrics including automated coverage growth and escaped defects.
• Enable developers to write, execute, and maintain automated tests as part of their daily workflow.

Qualifications

• Strong software engineering fundamentals.
• Strong experience with modern test automation frameworks, preferably Playwright.
• Demonstrated ability to use AI coding agents as a primary development partner.
• Comfortable delegating significant portions of implementation work to AI agents.
• Experience building and maintaining scalable automation frameworks.
• Experience integrating automated test suites into CI/CD pipelines using GitHub Actions or similar platforms.
• Experience with agentic testing frameworks, AI-powered testing tools, or LLM API integrations.
• Proven track record of increasing automation coverage and improving software quality outcomes.
• Strong understanding of quality engineering principles, test strategy, risk analysis, and defect prevention.
• Comfortable working as an embedded engineer within cross-functional product squads.
• Strong communication skills.
• Curiosity, adaptability, and a growth mindset toward emerging AI technologies.

Nice to Have

• Experience testing AI-powered products, agents, or LLM-based applications.
• Experience designing evaluation frameworks for AI-generated outputs.
• Familiarity with prompt engineering, AI quality assessment, and AI observability.
• Experience with performance, load, or resilience testing.
• Experience with test management platforms integrated with Jira.
• Experience building internal developer platforms, testing tools, or engineering productivity solutions.

Success in This Role

Within your first six months, you will:

• Increase automated regression coverage for your squad.
• Reduce manual testing effort sprint over sprint.
• Build reusable automation components adopted by multiple teams.
• Demonstrate effective use of AI agents to accelerate automation development and maintenance.
• Improve release confidence while supporting fast, reliable software delivery.
• Contribute to a culture where quality is owned by the entire engineering team.