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Salary
$32k – $80k per year (Estimated)
Location
Remote/Hybrid (Madrid, Spain)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
CompuGroup Medical is a German health information technology company founded in 1987 that supplies the software running in doctors' surgeries, dental practices, pharmacies, laboratories and hospitals across Europe. Its products cover practice management and electronic medical records, hospital information systems, laboratory systems and the communication infrastructure connecting providers to national health networks, with Germany as its largest market by some distance. Headquartered in Koblenz and listed in Frankfurt, it took investment from CVC in 2025 and serves hundreds of thousands of clinical users.

CGM Clinical is the company with the largest number of installations in Spain of hospital information systems, electronic medical records, and decision support systems. Worldwide, CGM implements information systems for more than 400,000 clients in 40 countries, including 68 public hospitals in Spain. Every day, 10,000 CGM employees around the world create innovative Digital Health solutions that help to cure and care for people. We are looking for a highly motivated Senior Quality Engineer (Automation & AI) professional with high proactivity.

Main responsibilities:

  • Design, develop, and maintain test automation frameworks using Python.
  • Implement unit, integration, end-to-end, API, and performance tests.
  • Define the product quality strategy together with the development team.
  • Integrate automated tests into the CI/CD pipeline.
  • Participate in technical reviews and collaborate closely with developers throughout the entire development lifecycle.
  • Identify quality risks and propose continuous improvements in both processes and tools.
  • Perform exploratory testing when necessary to discover scenarios not previously considered before automation.
  • Participate in the validation of Artificial Intelligence-based solutions, especially agentic systems and LLM-based applications.

Requirements

  • Education: Degree in Computer Engineering, Telecommunications Engineering or an equivalent technical degree.
  • 5+ years of experience in Quality Assurance / Quality Engineering with a strong focus on automation.
  • Experience developing automation frameworks in Python.
  • Experience defining and implementing testing strategies for modern applications.
  • Experience integrating automation into CI/CD pipelines.
  • High level of English (daily work in English).

General competencies:

  • Analytical mindset and quality-oriented approach.
  • Ability for continuous learning and adaptation to new technologies.
  • Proactivity and autonomy to research, propose, and implement improvements.
  • Attention to detail and focus on finding edge cases and unconsidered scenarios.
  • Ability to work in multidisciplinary teams and collaborate closely with developers.
  • Good communication skills in English.

Specific competencies:

Essential:

  • Experience developing automation frameworks in Python.
  • Experience with Pytest. • Experience in UI automation using Playwright.
  • Experience testing REST APIs.
  • Knowledge of OpenAPI and tools such as Postman.
  • Knowledge of different testing levels:

o Unit Testing o Integration Testing

o End-to-End Testing

o Performance Testing

o Exploratory Testing

  • Experience integrating automation into CI/CD pipelines.
  • Experience working with Git and GitLab.
  • Knowledge of Docker.
  • Experience using AI tools in daily work to increase productivity (GitHub Copilot, AI-based assistants, agents, MCP Servers or equivalent tools).

Highly valued:

  • Knowledge of TypeScript.
  • Experience with Schemathesis.
  • Experience validating products based on Artificial Intelligence, Machine Learning, or Large Language Models.
  • Knowledge about evaluation of agentic systems (prompt injection, non deterministic behavior, workflow validation, etc.).
  • Experience with LangGraph, LangFuse or similar technologies.
  • Knowledge of performance testing tools.

What do we offer?

  • Stable employment in a sector with great development potential.
  • Social benefits (health insurance and meal vouchers).
  • Ongoing training for your professional development.
  • Work-life flexibility.
  • Hybrid work model (with a high percentage of the working day in remote format).
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