Intellias
Senior AI-Driven Automation QA Engineer(JavaScript)
Skills
1 day ago
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Important information
Contract type:
Permanent
Location:
Spain
Work mode:
Onsite
Published on:
19 October 2026
What they need
Senior AI-Driven Automation QA Engineer
Location: Remote from Spain (an indefinite Spanish employment contract)
Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.
Requirements:
- 5+ years of hands-on QA and Test Automation experience.
- Strong JavaScript/TypeScript development skills and understanding of software design principles.
- Strong experience with Playwright.
- Experience with UI, API and E2E automation, CI/CD, Git, test reporting and monitoring.
- Hands-on experience applying GenAI/LLMs to engineering or QA workflows.
- Experience building AI-powered tools, agents, or reusable skills around automation frameworks.
- Understanding of MCP and API-based integrations with systems such as Jira.
- Ability to evaluate and validate AI-generated testing outputs, ensuring appropriate coverage, correctness, maintainability, and adherence to QA standards
Responsibilities:
- Design, develop, and maintain test automation frameworks and automated UI, API, and E2E tests.
- Integrate automated testing into CI/CD pipelines and continuously improve test coverage, tooling, and processes.
- Act as the quality engineering interface between the central QA team and teams working in AI Pods, ensuring alignment on testing approaches, standards, and release readiness.
- Ensure the quality of testing delivered by AI testing agents within AI Pods by reviewing their outputs, validating coverage and reliability, and identifying gaps requiring additional testing.
- Build AI-enabled capabilities around the test automation framework for test authoring, maintenance, execution, and failure analysis.
- Develop reusable AI skills/agents for QA workflows and integrate them with engineering and test-management systems using MCP/APIs.
- Analyse test results, troubleshoot failures, and support release readiness.
- Mentor team members and promote modern automation and AI-assisted QA practices.
Why this position:
At Intellias, where technology takes center stage, people always come before processes. We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.
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