TL;DR
Software Test Lead (AI, SaaS): Shaping QA processes and driving the strategy for testing cloud-native SaaS applications with an accent on AI and automation integration. Focus on embedding quality into CI/CD pipelines, defining technology stack, and ensuring high standards of reliability and compliance for healthcare software.
Location: Hybrid (Barcelona, Spain)
Company
hirify.global, S.A. U. is a global medical technology company dedicated to protecting and improving the health of people worldwide.
What you will do
- Own and evolve test strategies, frameworks, and quality standards for cloud-based healthcare software.
- Drive integration of AI and automation into testing workflows to improve efficiency and coverage.
- Serve as quality advocate in architecture decisions, risk assessments, and release planning.
- Lead, coach, and develop QA/Test engineers, fostering a culture of quality excellence.
- Optimize test processes, including automation, manual testing, and CI/CD integration.
- Establish metrics, reporting, and quality gates for frequent, reliable deployments.
Requirements
- Fluent English communication skills.
- Strong leadership and communication skills.
- Experience in software testing (manual and automated) in healthcare or regulated environments.
- Strong background in cloud-based SaaS testing (performance, smoke, canary, A/B releases, scalability).
- Familiarity with modern test tools and methodologies (e.g., Playwright, GoLang test runner, SonarQube, Postman).
- Solid understanding of agile and DevSecOps practices.
Nice to have
- Familiarity with healthcare industry regulations (ISO 13485, IEC 62304, MDR, FHIR).
- Knowledge of Spanish and German.
Culture & Benefits
- Foster a culture of quality excellence and continuous improvement.
- Opportunity to support the vision of protecting and improving health worldwide.
- Emphasis on innovation, efficiency, sustainability, trust, transparency, and appreciation.
- Work in interdisciplinary and multidisciplinary teams.
- Passion for technology and continuous learning.
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