Quality Engineer – Automation, AI

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Zyte

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🔌 API

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $3M Debt Financing on 2021-12

API • Artificial Intelligence • eCommerce

Zyte is a company specialized in providing web data extraction solutions that are now powered by AI. They offer a range of products including the Zyte API, which handles ban management, AI scraping, and proxy solutions for seamless web data collection. Additionally, Zyte provides scalable cloud hosting for Scrapy spiders, enabling efficient management and automation of web scraping tasks. Zyte caters to a diverse set of industries, providing data for e-commerce, news, AI, job postings, real estate, and more, while emphasizing legal compliance in their operations. With a focus on streamlined and cost-effective data extraction services, Zyte supports businesses in accelerating their data projects and enhancing data-driven decision-making.

📋 Description

• 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

• 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