Tech Stack

Description

You will collaborate on end-to-end data analytics and MLOps solutions using open-source tools like Kubeflow, MLFlow, DVC, and Feast, and work on ETL, data governance, visualization, and workflow orchestration. You'll design and maintain solutions deployed on public/private clouds and local workstations, and master distributed systems concepts.

Requirements

• Professional or academic software delivery using Python
• Exceptional academic track record from high school and university
• Undergraduate degree in a technical subject or compelling alternative narrative
• Experience with Linux (Debian or Ubuntu preferred)
• Professional written and spoken English with excellent presentation skills

Responsibilities

• Develop understanding of the entire Linux stack from kernel to application layer
• Design, build and maintain solutions for public/private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers