Full Description

About the Role

CGM is seeking a Team Lead QA Automation (m/w/d) to lead its QA Automation team and define the test automation strategy across multiple testing levels, including unit, integration, system, stress, and performance testing. The role combines technical leadership, people development, and hands-on engineering to ensure scalable, high-quality software delivery. You will work closely with Engineering and Product Management to establish shift-left, automation-first, and risk-based testing approaches. The successful candidate will bring strong technical credibility, leadership experience, and an interest in AI-native test automation, including the use of Claude Code and AI Agents to improve test generation, maintenance, and triage.

Key Responsibilities

Provide technical and disciplinary leadership for the QA Automation team. Define and implement the test automation strategy across unit, integration, system, stress, and performance testing. Partner with Engineering and Product Management on the team's delivery and quality commitments. Establish shift-left, automation-first, and risk-based testing approaches within the development process. Design scalable test automation frameworks, harnesses, and CI/CD pipelines. Remain hands-on with technical development where it provides significant value. Drive AI-native test automation initiatives. Use Claude Code and AI Agents for test generation, test maintenance, and test triage. Establish reusable AI-assisted skills and workflows for the QA Automation team. Mentor QA Engineers and continuously raise the team's technical standards. Contribute expertise to the AIS DE QA community.

Required Qualifications

Demonstrated leadership experience in test automation. Strong technical credibility and the ability to develop a senior QA team both professionally and personally. Completed university degree in Computer Science, Software Engineering, Business Informatics, or a comparable technical field, with very good academic performance. Strong experience with multi-layered test frameworks. Experience with CI/CD. Experience with load and performance testing. Strong programming skills in at least one language such as C#, Java, Python, or TypeScript. Demonstrated effective use of AI in a QA environment. Fluent German and fluent English, both written and spoken. Strong problem-solving skills. High level of proactivity and innovation. Entrepreneurial mindset aligned with CGM's healthcare purpose and responsibility for patient safety.

Preferred Qualifications

Master's degree in Computer Science, Software Engineering, Business Informatics, or a comparable technical field. Experience with CGM's relevant technology stack, including Qt, .NET, MariaDB, or Gematik TI. Experience with security testing and penetration testing. Experience with Claude Code or similar agentic AI tools. Experience working with AI Agents, Skills, and Workflows. Experience designing AI pipelines, test harnesses, and Context Engineering solutions.

Skills & Competencies

QA Automation Test Automation Strategy Team Leadership Technical Leadership People Management and Mentoring Test Framework Design Unit Testing Integration Testing System Testing Stress Testing Performance Testing Load Testing CI/CD Programming with C#, Java, Python, or TypeScript Test Harness Design Scalable Automation Frameworks AI-assisted QA AI Agents Claude Code AI-native Test Automation Test Generation and Maintenance Test Triage AI Workflows Security Testing Penetration Testing Problem-solving Innovation Proactive ownership Cross-functional collaboration

Education & Experience

Education

• University degree in Computer Science, Software Engineering, Business Informatics, or a comparable technical field.
• Very good academic performance.
• A Master's degree is preferred.

Experience

• Demonstrated leadership experience in test automation.
• Strong experience with multi-layered test frameworks, CI/CD, and load and performance testing.
• Strong programming experience in at least one of C#, Java, Python, or TypeScript.
• Demonstrated effective use of AI in QA.

Work Arrangement & Schedule

Location: Koblenz, Rhineland-Palatinate, Germany

Work Arrangement: Hybrid

Remote Work: 2 days per week

Onsite Requirement: 3 days per week

Employment Type: Not specified in the original job description

Weekly Hours: Not specified

Weekend Requirements: Not specified

Location clarification: The listing identifies Koblenz, Rhineland-Palatinate as the job location and labels the position as remote, while the employer description specifies a hybrid arrangement of 2 remote days and 3 onsite days per week. Compensation & Benefits

Compensation: Not specified in the original job description. Candidates are asked to provide their salary expectations.

Benefits include

Flexible mobile work with 2 remote days per week. Job-Bike leasing. Subsidized membership at a cooperating fitness studio and/or access to training programs. In-house Academy and external development partners for professional development. Modern and comfortable employee areas. Ergonomic workplace consultation. Various workplace customization options. Annual Health Day with different health-focused offerings.

Compliance / Additional Information

CGM operates in 19 countries and employs more than 9,000 people, providing software solutions for the healthcare sector. CGM welcomes applications regardless of disability, gender, nationality, ethnic or social background, religion, age, sexual orientation, or sexual identity. Applicants should submit their application online with complete application documents, including certificates, salary expectations, and their earliest possible start date.