Red Hat OpenShift AI (RHOAI) is looking for an experienced Full Stack Software Engineer to build and impact the next generation of hybrid cloud MLOps platforms, enabling enterprise customers to solve problems and accelerate business success using AI.
Requirements
- Full stack experience in the latest higher level programming languages, and testing frameworks (Cypress, Jest, Enzyme, React-Testing-Library, GoLang, Python)
- Experience with source code management tools such as Git
- Good systems understanding, troubleshooting and root-cause analysis capabilities
- Experience with the latest in Agentic Coding and AI Accelerated development workflows (Cursor, Claude Code, Gemini, Roo Code, GitHub Copilot)
- Use of MCP tools
- Reading and writing agentic coding guardrails that help improve velocity balanced with quality
- Experience with development for public cloud services (AWS, GCE, Azure)
- Experience with enterprise design patterns (Backend for Frontend, Service Bus, Circuit Breakers)
- Experience in Kubernetes, OpenShift or other cloud-native technologies
Responsibilities
- Contribute to the architecture, design, development of automated testing for new features and solutions for RHOAI
- Innovate in the MLOps domain by participating in upstream communities (Kubeflow, LLAMA-Stack, MCP, PyTorch, etc.)
- Ensure non-functional requirements including security, resiliency, and maintainability are met
- Work with your scrum team to help ensure quality, by writing integration, unit, and usability tests
- Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
- Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
- Give thoughtful and prompt code reviews
Other
- Ability to quickly learn and use new tools and technologies
- Ability to work independently in a fast-paced, ever-changing environment
- Excellent written and verbal communication skills
- Understanding of how Open Source and Free Software community's work
- Excitement about the future of responsible Agentic AI software development
