QA AI Automation Staff Engineer

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SeniorZdalnie·LisbonFull-time

#462237·Dodano 5 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

JavaScriptAPI (Application Programming Interface)PythonQuality Assurance (QA)Artificial Intelligence (AI)Test designstrategyCI/CDTestingScrum

Podsumowanie oferty

Define and drive the QA automation and quality engineering strategy across a distributed engineering organization. Build automation frameworks and apply AI-driven testing, including LLMs, Python, JavaScript/TypeScript, and CI/CD integration.

Wymagania

8+ years in Quality Engineering, including 3+ years in a QA automation leadership role.
Strong coding and automation background, such as Python, JavaScript/TypeScript, or Java.
Deep understanding of automation frameworks such as Selenium, Cypress, Playwright, REST-assured, or equivalent.
Experience integrating automated tests into CI/CD pipelines and cloud environments (AWS).
Hands-on experience using AI tools, including LLMs, Copilot, or custom AI frameworks, to enhance QA processes.
Leadership and mentoring capabilities, with experience elevating a distributed QA team.
Communication, analytical, and problem-solving skills, with the ability to operate strategically while remaining technically involved.
Familiarity with Agile/Scrum development and modern DevOps practices.
Fluent English as the primary working language.

Preferred:

A second European language, such as French or Spanish.

Obowiązki

Quality Strategy & Leadership:

Design and implement the overall QA automation and quality engineering strategy, embedding quality across the full delivery lifecycle.
Contribute hands-on to framework design, test creation, and AI-assisted validation.
Mentor and upskill QA engineers, introducing tools and methodologies that advance automation maturity.
Align QA innovation with product, data, and DevOps goals across teams.
Define measurable KPIs for automation adoption, quality coverage, and efficiency gains.

AI-Driven Test Acceleration:

Investigate and apply AI/ML tools for automated test generation, defect prediction, and self-healing test suites.
Incorporate generative AI and large language models (LLMs) to optimize test design and coverage.
Use intelligent analytics to identify high-risk areas, improve test prioritization, and reduce redundant testing.
Partner with engineering teams to integrate AI capabilities into CI/CD pipelines for smarter test orchestration.

Automation & Framework Evolution:

Build and maintain scalable test automation frameworks for API, UI, regression, data, and integration testing.
Ensure automation best practices in version control, CI/CD, and environment management.
Collaborate with development teams to support early and consistent testing practices.
Enhance test frameworks to support new technologies and system architectures.

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