Principal Software Engineer - Llama Stack and Testing (EMEA)

At Red Hat, our commitment to open source innovation extends beyond our products - it's embedded in how we work and grow. Red Hatters embrace change - especially in our fast moving technological landscape - and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

Red Hat's Global Engineering team is looking for a Principal Software Engineer to join the Agentic and AI Engineering Tools team to develop new APIs, tooling, providers and improve overall code quality in the upstream Llama Stack project. In this role, you'll contribute directly to Red Hat's rapidly growing AI/ML family of products and will be responsible for the design, development, and refinement of software adding features that enables Llama Stack to achieve Enterprise readiness.

The ideal candidate will have a proven background in developing robust and scalable code. As part of your responsibilities, you will need to adhere to coding best practices and standards, including well documented, and efficient code; building and implementing upstream unit and E2E automated tests, maintaining updated code documentation and comments, following security best practices, participating in code reviews and other peer reviews in upstream projects, and staying up to date with software engineering technologies, frameworks, and methodologies.

What you will do

• 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.

What you will bring

• 10 years of advanced Python and 5+ years Bash/Shell development experience.

• The 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.

Nice to Haves

• Experience with Security, Observability, Performance or Scale.

• Understanding of DevOps methodology, scrum, and/or Jira.

• Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.