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# Automation QE Lead: Quality Architecture & Agentic Testing

- **Company:** airSlate
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Automation of Tests, Continuous Integration, Selenium, Software Engineering, Toolchain, TypeScript, Large Language Models, Playwright, Code Restructuring, SDET
- **Published:** June 20, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=3e265134dd4af7ec

## About the Role

Do you have experience in Selenium?, Do you have a Master's degree?, * 7+ years in software engineering, AQE, or SDET with a clear arc toward quality leadership

 * 5+ years hands-on with Java and/or JavaScript/TypeScript, deep enough to design novel solutions, not just configure existing ones
 * 3+ years leading AQE or engineering teams hands-on, running pilots, driving adoption, and getting their hands dirty alongside the team
 * Strong automation architecture chops: you design frameworks, not just write tests
 * Proven experience driving quality initiatives and change management across engineering teams
 * Hands-on experience with AI-assisted testing tools in production
 * Familiarity with agentic/LLM concepts: evaluating model outputs, handling non-determinism, and agent orchestration patterns
 * CI/CD integration, shift-left thinking, and quality-by-design fluency
 * English B2+

## Description

* Quality architecture. Frameworks, toolchain, and the roadmap from traditional automation to agentic solutions. You define how quality is built into the system, not bolted on at the end.
 * A team of 6-10 AQEs. Mentoring, technical direction, and running hands-on pilots alongside them as the team evolves into the agentic era.
 * The existing test automation framework (Java/JS · Selenium · Playwright). Keeping it healthy while evolving it; refactoring what needs it, retiring what doesn't.
 * Agentic QE design. Partnering with engineering leaders to co-design deterministic agent workflows and non-deterministic (LLM-assisted) approaches, with clear human-in-the-loop governance where it matters.
 * Observability and reporting tooling. Coverage dashboards, flakiness detection, CI quality gates - the visibility layer engineers actually trust.
 * Testing AI-powered features. Behavioral validation, non-deterministic regression, and output evaluation for the product's own agentic capabilities.
 * Internal tooling. Building tools that make the broader engineering org faster and more quality-conscious, not just the QE team.


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