Senior Software Quality Engineer - Generative AI

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach. They are seeking a Senior Software Quality Engineer to ensure the quality of their Lightspeed Core project, which is integral to developing generative AI capabilities for their products.

Responsibilities:

• Work in a fast-paced agile globally distributed environment of talented engineers
• Execute manual and automated tests for the Lightspeed Core project and deliver clear status in a timely manner
• Conduct failure analysis, explore, identify and document new bugs, advocate for the resolution of bugs and communicate the impact on customers to developers and support
• Coordinate bug verification, regression testing as well as project delivery related testing with partnering teams
• Design, develop and maintain automation frameworks, CI and scripts supporting Lightspeed Core testing
• Participate in the test planning and product planning processes
• Conduct new feature research and design test cases
• Constantly learn new things and maintain an overview of current technologies
• Provide mentoring and leadership to other team members
• Exercise influence and customer centricity to motivate product teams to adopt the common platform rather than to build their own code from scratch

Requirements:

• Bachelor's degree or higher, or equivalent in computer science or a related field
• 5+ years of professional experience working in QE or similar roles
• Familiarity with testing methodologies and techniques
• Experience with generative AI, at minimum as advanced user level
• Understanding the elementary concepts of generative AI like prompt tuning, prompt engineering, RAG, tokenization, chunking
• Programming skills in shell, Ruby, Golang, Python or another programming language
• Demonstrated ability to quickly learn new technologies with minimal guidance; willingness to learn and work with new technologies
• Excellent written and verbal communication skills and ability to work with distributed teams
• Experience with CI/CD and technologies like Prow, Tekton or ArgoCD
• Experience testing multi-agent architecture or Langchain-based code
• Contributions to open source projects or publicly available code samples
• Experience designing, developing and maintaining automation frameworks and scripts with Ruby, Golang and Python for OpenShift testing and implementation