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What you will do
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
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
Give thoughtful and prompt code reviews
Represent RHOAI in external engagements including industry events, customer meetings, and open-source communities
Mentor and guide other engineers
What you will bring
Passion for writing and maintaining reliable code
Experience with monitoring and alerting tools such as Prometheus and Grafana
Excellent written and verbal communication skills; fluent English language skills
Strong experience developing applications in Python, GoLang is a plus
Strong experience in Kubernetes or OpenShift
Ability to quickly learn and guide others on using new tools and technologies
Experience with source code management tools such as Git
Innovation skills and a passion for technology
Strong system understanding and troubleshooting capabilities
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Familiarity with data science workflows and machine learning pipelines.
Excellent written and verbal communication skills
The following will be considered a plus:
While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
Understanding of how Open Source and Free Software communities work
Experience with development for public cloud services (AWS, GCE, Azure)
Experience working with or deploying MLOps platforms
Experienced in OpenShift based solutions
An existing contributor in one or more MLOps open-source projects such as KubeFlow, KServe, RayServe, and vLLM is a huge plus
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