QA Automation Engineer - Remote

## About the Role

CGM is seeking a **Team Lead QA Automation** to lead its QA Automation team and define the **test automation strategy** across unit, integration, system, stress, and performance testing. You will combine technical leadership with hands-on engineering where it creates meaningful value, while working closely with Engineering and Product Management to deliver on quality and delivery commitments.

A key focus of the role is advancing **AI-native test automation** in the E-Health environment. You will use AI tools and agents to generate, maintain, and triage tests, establish reusable skills and workflows, and help embed shift-left, automation-first, and risk-based testing throughout the development process. You will also mentor QA Engineers and contribute your expertise to the AIS DE QA community.

## Key Responsibilities

- Provide **technical and disciplinary leadership** for the QA Automation team.

- Define and implement a test automation strategy across:

- Unit testing

- Integration testing

- System testing

- Stress testing

- Performance testing

- Work with Engineering and Product Management on the team's delivery and quality commitments.

- Embed **shift-left, automation-first, and risk-based testing** approaches into the development process.

- Remain hands-on where appropriate, including designing scalable **test frameworks, test harnesses, and CI/CD pipelines**.

- Ensure automation frameworks and pipelines can scale with product complexity.

- Drive **AI-native test automation** initiatives.

- Use **Claude Code and AI agents** for test generation, maintenance, and triage.

- Establish reusable AI skills and workflows for the QA team.

- Mentor QA Engineers and continuously raise the team's technical capabilities.

- Contribute expertise to the **AIS DE QA community**.

- Apply AI, automation, and technical expertise to improve QA effectiveness in an E-Health environment.

## Required Qualifications

- Demonstrated **leadership experience in test automation**, with strong technical credibility.

- Ability to develop a senior QA team both technically and personally.

- Excellent university degree, preferably a **Master's**, in Computer Science, Software Engineering, Business Informatics, or a comparable technical field, with very good academic performance.

- Solid 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

- TypeScript

- Demonstrated effective use of **AI in QA**.

- Experience with AI agents, skills, and workflows, including Claude Code or similar agentic tools.

- Experience designing **AI pipelines, test harnesses, and Context Engineering**.

- Fluent **German and English**, both written and spoken.

- Strong problem-solving skills.

- High level of innovation and proactivity.

- Entrepreneurial mindset.

- Clear alignment with CGM's healthcare purpose and responsibility for **patient safety**.

## Preferred Qualifications

- Experience with **Claude Code** or similar agentic AI tools.

- Knowledge of CGM's relevant technology stack, including:

- Qt

- .NET

- MariaDB

- Gematik TI

- Experience in **security testing and penetration testing**.

- Experience designing and implementing AI-driven QA pipelines and reusable test automation workflows.

## Skills & Competencies

- QA leadership

- Test automation

- Test automation strategy

- Unit, integration, system, stress, and performance testing

- Multi-layered test frameworks

- CI/CD

- Load and performance testing

- C#, Java, Python, or TypeScript

- Test framework and test harness design

- AI-native test automation

- AI agents

- Claude Code

- AI test generation, maintenance, and triage

- AI pipelines

- Context Engineering

- Shift-left testing

- Automation-first testing

- Risk-based testing

- Security testing

- Penetration testing

- Technical mentoring

- Problem-solving

- Innovation

- Proactivity

- Cross-functional collaboration

- Entrepreneurial mindset

- Patient-safety awareness

## Education & Experience

**Education**

- Excellent university degree, preferably a **Master's degree**, in Computer Science, Software Engineering, Business Informatics, or a comparable technical field, with very good academic performance.

**Experience**

- Demonstrated leadership experience in **test automation**.

- Experience leading and developing a senior QA team.

- Solid experience with multi-layered test frameworks, CI/CD, and load and performance testing.

- Strong programming experience in at least one relevant language.

- Demonstrated effective application of AI within QA.

- Experience with AI agents, skills, workflows, AI pipelines, test harnesses, and Context Engineering.

## Work Arrangement & Schedule

- **Location:** Koblenz, Rhineland-Palatinate, Germany

- **Work Arrangement:** Hybrid / Mobile Work

- **Remote Schedule:** **2 days per week remote and 3 days per week onsite**

- **Employment Type:** Not specified in the source job description.

- **Weekly Hours:** Not specified in the source job description.

- **Schedule Flexibility:** Mobile work is available within the stated two-remote/three-onsite arrangement.

- **Weekend Requirements:** Not specified in the source job description.

## Compensation & Benefits

- **Compensation:** EUR — specific salary amount not provided in the source job description.

- Job-bike leasing

- Subsidized membership at a cooperating fitness studio and/or access to various training programs

- Inhouse Academy and external development partners

- Modern and comfortable employee areas

- Ergonomic workplace consultation

- Various workplace design options

- Annual more than 9,000 employees. The company emphasizes AI innovation in the E-Health environment and aims to contribute to the healthcare **Health Day** with health-related offerings

## Compliance / Additional Information

**Employer:** CGM

CGM is a healthcare software solutions company operating in 19 countries with more than 9,000 employees. The company emphasizes AI innovation in the E-Health environment and aims to contribute to the healthcare system of the future.

CGM welcomes applications regardless of disability, gender, nationality, ethnic or social background, religion, age, sexual orientation, or identity.

Applicants should submit their application online with relevant application documents, including certificates, salary expectations, and earliest possible start date.