Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs, use cases, and ensure product and testing fulfills those requirements
Collaborate with Quality Engineers to develop and implement comprehensive unit, integration, and E2E tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality
Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential bugs, security vulnerabilities, and adherence to coding standards, contributing to a more thorough and efficient review process
Leverage AI-driven testing frameworks to automate test case generation, optimize test execution, identify potential edge cases, and enhance overall test coverage and reliability
Create and maintain clear, concise upstream technical documentation including API references and user guides and collaborating with our internal tech writers to create robust downstream documentation

10 years of advanced Python and 5+ years Bash/Shell development experience
Previous experience in testing, automation and quality engineering is mandatory
Advanced knowledge designing robust and scalable software used in highly scaled and performant Distributed Systems
Experience with building agentic/RAG applications, MCP integrations, or developing with LLMs
Advanced knowledge creating automation for GitHub, using GitHub Actions or related continuous integration tools
Advanced knowledge developing unit, functional, and end-to-end (E2E) test cases and automation, including frameworks such as PyTest
Knowledge of Kubernetes/OpenShift and operational knowledge building/deploying containers
Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
Ability to quickly learn and use new tools and technologies

Principal Software Engineer – Llama Stack, Testing

Key skills