Job offer
Senior AI Test Automation Engineer
The position of Senior AI Test Automation Engineer at Julius Baer in Madrid involves developing and implementing technical test automation solutions for the company’s AI and ML platform. The Senior AI Test Automation Engineer is responsible for the architecture, implementation, and execution of test automation solutions and works closely with other teams to ensure the quality and reliability of the AI and ML systems.
Tasks
- Develop and oversee a technical test automation solution for the AI and ML Ops platform
- Be responsible for the architecture, implementation, and execution of the test automation solution
- Further develop and adapt the test automation approach and test framework architecture for ML and AI-ART
- Design and implement reusable, scalable test automation patterns
- Analyze and evaluate requirements, features, and user stories for testability
- Derive and automate test cases based on technical and risk-based analysis
- Automating test cases with Python-based frameworks
- Design and implement specific test cases for AI/ML systems
- Integrating and orchestrating automated tests in GitLab CI/CD pipelines
- Provisioning and managing test environments with Docker and Kubernetes
- Plan, schedule, and trigger automated test runs
- Monitor test results, identify and correct faulty test cases
- Communicate quality signals to the team, product owners, and test managers
- Actively participate in PI planning, system design, Inspect & Adapt, and other SAFe ceremonies
Requirements
- Proven expertise in Python-based test automation
- Ability to design and manage test automation frameworks
- Practical experience with integrating and running automated tests in CI/CD pipelines
- Experience in test automation design, test specification, flaky test management, and modern reporting tools
- Basic understanding of ETL and version control tools
- Knowledge of Docker and Kubernetes
- Experience with AI/ML systems or a strong desire to develop this expertise
- Understanding of AI/ML design patterns, microservices architecture, and authentication layers
- Basic understanding of SRE and DevOps principles
We offer
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