Senior Software Test Engineer (m/f/d) - Python Test Automation

Your responsibilities

• Test approach and ownership: Design and own the test approach for assigned tools, including risk-based scoping, test levels and acceptance criteria.
• Python test automation: Develop and maintain automated test suites in Python and PyTest, including fixtures, parametrization, test data management and mocking of external dependencies.
• CI/CD and containerized execution: Integrate automated tests into CI/CD pipelines and run them in containerized environments.
• UI and API testing: Implement automated UI and API testing where appropriate, using Playwright or similar tools.
• Traceability and validation evidence: Establish and maintain traceability from requirements through tests to executed evidence, and produce validation documentation that withstands audit and inspection.
• Requirements and change analysis: Review requirements for testability, challenge gaps, ambiguities and unnecessary complexity, and determine the scope of regression and revalidation through impact analysis.
• Defect management: Investigate, reproduce and triage defects, and manage them through their lifecycle in Jira and Xray.
• Quality standards and collaboration: Review the test work of others and contribute to raising the testing standard across the team.

Your profile

Your Profile

• Bachelor's or Master's degree in Computer Science, Software Engineering or a related discipline.
• Five or more years of hands-on software testing experience, with a substantial portion in test automation.
• Experience in a regulated domain such as pharma, medical device, diagnostics or another GxP environment.
• Strong, demonstrable Python and PyTest skills.
• Experience designing and maintaining an automated test framework.
• Risk-based test design skills, including the ability to derive test scope and depth from requirements and risk and justify what is and is not tested.
• CI/CD experience, for example GitHub Actions or Azure DevOps, including running tests in pipelines and interpreting pipeline failures.
• Experience with containerized test execution using Docker.
• Proficiency with Git workflows, branching, pull requests and code review.
• API and integration testing experience.
• Familiarity with test management and defect tracking in Jira, Xray or an equivalent tool.
• Ability to work independently and own a testing scope without close direction.
• Confidence in constructively challenging requirements, designs and assumptions.
• Clear written communication and a collaborative approach across disciplines, including developers and data scientists.

What Will Set You Apart

• Working knowledge of GxP, GAMP 5, computerized system validation or 21 CFR Part 11 and Annex 11, including data integrity and audit trail requirements.
• Prior experience in pharma compliance or regulated validation projects.
• Familiarity with IEC 62304, ISO 13485 or ISO 14971.
• Exposure to UI automation using Playwright, Selenium or Cypress.
• Understanding of machine learning or medical image analysis and the testing challenges of non-deterministic systems.
• Experience with cloud environments such as AWS and with Kubernetes.
• Experience mentoring or coaching other testers.
• Knowledge of biomarker or companion diagnostics development.

Candidates with strong automation experience but less regulatory experience are also encouraged to apply, provided they already have solid risk-based testing fundamentals.

What we offer

What you can expect:

• Individual development opportunities with a focus on lifelong learning
• Trust, appreciation, and room to shape things in a focused and passionate team
• Modern office space in Munich enabling collaborative, flexible, and agile work
• A diverse, inclusive, and bias-free work environment, actively welcoming applications from all qualified candidates, regardless of background or characteristics

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Veröffentlicht am 01. Nov. 2026

Veröffentlicht am 01. Nov. 2026

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung