Red hat Principal Software Quality Engineer - Model Validation hybrid Raanana 

Israel, Center District, Raanana 

813580815

Job Summary

You will help establish quality best practices across the cloud service and contribute to automated test frameworks that support CI/CD processes, while working closely with software engineers, data scientists, and platform teams to deliver high-quality experiences.

What You Will Do:

• Design and develop automated test suites for backend services and front-end UIs involved in the cloud service

• Validate the performance and accuracy evaluation pipelines to ensure reproducibility and correctness of model results

• Build test coverage for APIs, microservices, and data processing components across the stack

• Develop and execute performance, integration, and end-to-end tests

• Collaborate with developers and other quality engineers to define test plans and acceptance criteria for new features

• Integrate automated tests into CI/CD pipelines to support early issue detection and deployment confidence

• Track, investigate, and document bugs and regressions, and help drive resolution

• Continuously evaluate and improve testing frameworks and tooling

• Participate in agile development practices and help foster a culture of quality across the team

What You Will Bring:

• Proficiency in writing automated tests using frameworks such as Pytest, Selenium , or similar

• Experience testing REST APIs, microservices , and full-stack applications

• Familiarity with CI/CD pipelines and tools

• Strong analytical and debugging skills, especially across distributed systems

• Working knowledge of Python or another scripting language used in automation

• Detail-oriented mindset with a passion for ensuring high-quality user experiences

• Ability to collaborate effectively with developers, data scientists, and product stakeholders

• Bachelor’s degree in Computer Science or a related field, or equivalent experience

Nice to Have:

• Exposure to AI/ML testing, model accuracy validation, or MLOps

• Experience with performance testing tools or benchmarking frameworks

• Familiarity with Kubernetes, containers, and cloud-native environments

• Contributions to open source or experience working in open development environments