Python Developer

Python programming, K8s , Microservice, TensorBoard
We need somebody with deep experience in Kubernetes internals, and Python programming, good knowledge of how to use and extend Jupyter Notebook functionality, and familiarity with Python-based ML frameworks like Tensorflow / TensorBoard.
More information:
Experience in Multi-Tenant log collection in Kubernetes, expertise in logging solutions for K8’s, setting up K8’s cluster (on-premise), and expertise in implementing a solution to mount storage in the container running in the Kubernetes environment.

Looking for an experienced developer with good working knowledge of Kubernetes. Comfortable with recent Python versions and practices. Able to work well with a distributed team, comfortable with git & Linux.
Familiarity with multi-tenant log collection in Kubernetes 
Familiarity with Implementation of distributed REST micro-server components
Ability to implement log collection across multiple Kubernetes clusters with managed web user access to logs.
The ability to implement a web-based REST client to view logs is a plus.
Jupiter Notebook working familiarity, ability to implement containers that run notebooks both batch and interactive, as well as API to submit/run notebooks.
Ability to implement a solution to optionally run Tensor Board in parallel with ML training Kubernetes Jobs providing access to Tensor Board to a web user via URL.
Ability to implement a solution for mounting Microsoft OneDrive into a container running in Kubernetes including managing the auth authentication via Azure in a corporate environment