Quality Engineer (Automation & AI) - Remote

8 hours, 30 minutes ago
Senior
Artificial Intelligence and Machine Learning
Zyte

Zyte

Zyte is a leading provider of Full Stack Web Scraping API and World Class Data Extraction Services. With AI-powered web scraping platform, Zyte offers fast and reliable data extraction solutions for over 2,000 companies and 1 million developers worldwi...

Professional Services
251-1K
Founded 2010
$3M raised

Description

  • Design risk-based test strategies for new features and releases and convert them into automated coverage.
  • Use Claude Code or equivalent AI coding agents as the primary development environment for generating, reviewing, debugging, refactoring, and maintaining automation code.
  • Build and maintain automated test suites using Playwright 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 improve test authoring velocity across engineering teams.
  • Partner with engineers, product managers, and designers to influence requirements, design decisions, observability, and deployment strategies.
  • Continuously improve test suite health by reducing flakiness and increasing execution speed and reliability.
  • Drive quality upstream by identifying risks early and implementing preventative quality practices.
  • Own and improve quality metrics such as 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

  • 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.
  • 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.

Interested in this position?

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