The Red Hat OpenShift AI (RHOAI) team is looking for a Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join their rapidly growing engineering team to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI.
Requirements
- Minimum of 3 years of experience developing applications in Go or Python, or other language
- Experience in Kubernetes, OpenShift or other cloud-native technologies
- Ability to quickly learn and use new tools and technologies
- Experience with source code management tools such as Git
- Good system understanding and troubleshooting capabilities
- Experience with development for public cloud services (AWS, GCE, Azure)
- Experience working with or deploying MLOps platforms
Responsibilities
- Contribute to the architecture, design, development, and testing of new features and solutions for RHOAI
- Contribute to cutting edge technologies, and emerging technologies like model context protocol (MCP)
- Ensure non-functional requirements including security, resiliency, and maintainability are met
- Write unit and integration tests and work with quality engineers to ensure product quality
- 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
- 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.
Other
- Ability to work independently in a fast-paced, ever-changing environment
- Understanding of how Open Source and Free Software communities work
- Excellent written and verbal communication skills
- While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
