Python and Kubernetes Software Engineer – Anywhere

The role involves developing end-to-end data analytics and machine learning solutions using open-source tools like Kubeflow, MLFlow, and Feast. The engineer will collaborate with distributed teams to build scalable solutions deployed on various platforms, including clouds and local environments. Responsibilities include designing, building, maintaining, and debugging large-scale systems and ensuring their observability, security, and performance. Candidates should have strong Python skills, experience with Linux, and a keen interest in distributed systems and cloud technologies. The role requires good communication skills, flexibility, and the ability to work effectively in a multicultural, remote setting. Occasional travel for team events is expected.