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 review 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.

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

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.

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Principal Software Engineer - Llama Stack and Testing (EMEA)

Job Description