Quality Engineer (Automation & AI)

Zyte

About The Position

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.

Requirements

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 Haves

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

Responsibilities

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