The Red Hat OpenShift AI (RHOAI) team is looking to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI, specifically focusing on hybrid cloud MLOps platforms.
Requirements
- Experience with monitoring and alerting tools such as Prometheus and Grafana
- Strong experience developing applications in Python, GoLang is a plus
- Strong experience in Kubernetes or OpenShift
- Experience with source code management tools such as Git
- Familiarity with data science workflows and machine learning pipelines
- 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
- Innovate in the MLOps domain by participating in upstream communities, such as KubeFlow and KServe
- 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
- Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
- Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
- 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
- Minimum of 5 years of experience
- Passion for writing and maintaining reliable code
- Excellent written and verbal communication skills; fluent English language skills
- Autonomous work ethic, thriving in a dynamic, fast-paced environment
- Bachelor’s degree or higher in computer science or a related discipline is valued, but not required
