Zyte

Quality Engineer (Automation & AI)- Remote

Vaga remota de Quality Assurance Engineering com fit claro de localização do candidato.

Publicada19 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeMiddle

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Paquistão

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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

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

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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