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Open nowPosted 3 days ago

Quality Engineer (Automation & AI) - Remote

Workable (global search)108,016 open roles

Where
Lisbon, Portugal
Work mode
Remote
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Your applicationOpen nowQuality Engineer (Automation & AI) - RemoteWorkable (global search) · Lisbon, Portugal

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 3 days ago

Workable (global search) median: 7 days open

The posting

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

Requirements

What We Are Looking For

  • Strong software engineering fundamentals, with the ability to review, validate and debug code across any modern programming language
  • Strong experience with modern test automation frameworks, preferably Playwright
  • Demonstrated ability to use AI coding agents as a primary development partner for generating, reviewing, debugging, refactoring, and maintaining code
  • Comfortable delegating significant portions of implementation work to AI agents while maintaining high engineering and quality standards
  • 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 within engineering workflows
  • Proven track record of increasing automation coverage, reducing manual effort, 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 with the ability to provide concise, actionable updates and collaborate effectively across teams
  • Curiosity, adaptability, and a growth mindset toward emerging AI technologies and engineering practices

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
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