Company Description
At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly-growing company supporting more than 90% of Fortune 500 companies.
Job Summary
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.
What you will do:
- Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.
- Create robust AI/ML software tools to enable AI Application development and contribute to a healthy open source community.
- Develop and implement comprehensive unit, integration, and end-to-end 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.
- Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
- 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.
- Evaluate and integrate the latest advancements in AI/ML technologies and toolkits to improve existing systems and develop new innovative solutions.
What you will bring:
- 10 years of advanced Python development experience as a Software Engineer in Open Source communities with experience in AI/ML
- Advanced knowledge designing robust and scalable APIs used in highly scaled and performant Distributed Systems
- Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
- Advanced knowledge creating automation for GitHub, using GitHub Actions or related continuous integration tools.
- Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
- Advanced knowledge developing unit, functional, and end-to-end (E2E) test cases and automation.
- Ability to quickly learn and use new tools and technologies.
The following will be considered a plus:
- Experience with Security, Observability, Performance or Scale
- Experience working with Kubernetes/OpenShift and containers.
- Knowledge and interest in developing tools and solutions using RAG or Agentic workflows
- Understanding of DevOps methodology, scrum, and/or Jira.
- Knowledge with hardware accelerators, such as CUDA and ROCm
- Bachelor’s degree in computer science or related discipline.
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