Senior Software Engineer

Description:

What you will do

• Contribute to architecture, design, and development of Model Registry project in Kubeflow and OpenShift AI. Understand the needs of other Kubeflow and Red Hat Openshift AI components for features for integrating with Model Registry and implementing them.

• Innovate in the MLOps domain by participating in upstream communities such as Kubeflow, Kserve, ml-metadata

• Lead the development of new features and solutions for OpenShift AI

• Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI

• Present at OpenShift/Kubernetes, and AI/ML-related technology conferences and internally within the AI/ML communities of practice

• Mentor and guide other engineer

What you will bring

• Good Experience with the Go programming language

• Hands-on experience with Kubernetes and Docker

• Demonstrable expertise in Python

• Ability to quickly learn and use new tools and technologies

• Implementation experience with core AI/ML algorithms and libraries and MLOps

• Solid experience with source code management tools such as Git

• Excellent system understanding and troubleshooting capabilities

• Ability to work on your own in a fast-paced, ever-changing environment

• Understanding of how Open Source and Free Software communities work

• Excellent written and verbal communication skills; fluent English language skills

Nice to Haves

• Working experience with other model registry solutions (e.g.: MLFlow, Azure Model Registry) would be a plus

• Experience with Kubeflow would be a plus

• Knowledge of Prometheus monitoring stack

• Experience with C++ would be a plus.

• Bachelor's degree or higher in computer science or other related discipline