Description

You will own the development and management of containerized Python applications and Kubernetes-based infrastructure.

This role is on-site.

Responsibilities

• Build and implement distributed REST micro-server components.
• Configure multi-tenant log collection across multiple Kubernetes clusters with managed web access.
• Develop containers for Jupyter Notebooks to support batch and interactive use, including submission and execution APIs.
• Set up on-premise Kubernetes clusters and implement storage mounting solutions within container environments.
• Integrate TensorBoard with ML training via Kubernetes Jobs and mount Microsoft OneDrive using Azure authentication.

Required Skills

• 5+ years of experience in Python programming using recent versions and best practices.
• Deep expertise in Kubernetes internals and cluster setup.
• Experience with multi-tenant log collection and logging solutions in Kubernetes.
• Proficiency with Linux and Git.
• Experience implementing distributed REST microservices.
• Knowledge of Jupyter Notebook functionality and extension mechanisms.
• Familiarity with Python-based ML frameworks such as TensorFlow and TensorBoard.
• Experience managing authentication via Azure in corporate environments.

Preferred Skills

• Ability to implement a web-based REST client for log viewing.

Key Skills

Education

Any Graduate