Found Description
Responsibilities
- Architect cloud infrastructure solutions including Kubernetes, Kubeflow, OpenStack, and Spark
- Deliver solutions on-premise or in public clouds such as AWS, Azure, and Google Cloud
- Collect customer business requirements and advise on Ubuntu and open source applications
- Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to clients
- Develop Kubernetes operators and Linux open source infrastructure-as-code using Python
- Work across the entire Linux stack from kernel to applications
- Collaborate with sales teams to reach commercial targets
Requirements
- Experience in data engineering, MLOps, or big data solutions deployment
- Practical knowledge of Linux, virtualization, containers, and networking
- Intermediate level Python programming skills
- Knowledge of cloud computing concepts and providers (AWS, Azure, GCP, Kubernetes)