Python & Kubernetes Data Platform Engineer

Canonical; Bogotá; Presencial; COP 279.027.588 - 418.541.383; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Personal learning and development budget of USD 2,000

Annual compensation review

Twice-yearly team sprints

Employee Assistance Programme

Descripción de la vacante

Canonical is hiring Python and Kubernetes Specialist Engineers to collaborate on data analytics and MLops solutions. You will work on open-source platforms for public cloud and ensure seamless integration across teams.

The role involves developing skills in Linux, mastering distributed systems concepts, and collaborating with teams globally. Successful candidates will possess strong Python skills, an undergraduate degree in a technical field, and a passion for technology.

The position offers a distributed work environment, personal development budget, and annual compensation reviews.

Formación

• Experience with machine learning libraries or tools.
• Excellent written and spoken English.
• Ability to travel twice a year for company events.

Responsabilidades

• Develop understanding of the entire Linux stack.
• Design, build, and maintain solutions for public and private clouds.
• Collaborate with a distributed team of engineers and product managers.

Conocimientos

Python

Kubernetes

Machine Learning

Linux

Educación

Undergraduate degree in a technical subject

Herramientas

Docker

AWS

Azure

Google Cloud

Descripción del empleo

Canonical is hiring Python and Kubernetes Specialist Engineers to collaborate on data analytics and MLops solutions. You will work on open-source platforms for public cloud and ensure seamless integration across teams.

The role involves developing skills in Linux, mastering distributed systems concepts, and collaborating with teams globally. Successful candidates will possess strong Python skills, an undergraduate degree in a technical field, and a passion for technology.

The position offers a distributed work environment, personal development budget, and annual compensation reviews.