Python & Kubernetes Data Engineer — AI/ML & Analytics (Remote)

Canonical; Salamanca; A distancia; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Personal learning and development budget

Annual compensation review

Recognition rewards

Maternity and paternity leave

Employee Assistance Programme

Travel opportunities to meet colleagues

Descripción de la vacante

A leading open source software provider is seeking Python and Kubernetes Specialist Engineers to develop data analytics and MLOps solutions. The role involves collaboration across teams, debugging, and working with both cloud solutions and Kubernetes. Candidates should have strong Python experience, an undergraduate degree in a technical field, and the ability to effectively communicate in English. The position is remote with international collaboration opportunities.

Formación

• Professional or academic software delivery using Python.
• Strong academic record from high school and university.
• Confidence to respectfully speak up, exchange feedback, and share ideas.
• Result-oriented with commitment to meet objectives.

Responsabilidades

• Develop understanding of the Linux stack.
• Design, build and maintain solutions on public and private clouds.
• Collaborate with a distributed team of engineers.
• Debug issues and interact with upstream communities.

Conocimientos

Python

Kubernetes

Linux (Debian or Ubuntu)

Machine Learning

Container Technologies

Cloud Computing

Interpersonal Skills

English (written and spoken)

Problem Solving

Collaboration

Educación

Undergraduate degree in a technical subject

Herramientas

Machine Learning Libraries

Docker

AWS

Azure

Google Cloud

Descripción del empleo

A leading open source software provider is seeking Python and Kubernetes Specialist Engineers to develop data analytics and MLOps solutions. The role involves collaboration across teams, debugging, and working with both cloud solutions and Kubernetes. Candidates should have strong Python experience, an undergraduate degree in a technical field, and the ability to effectively communicate in English. The position is remote with international collaboration opportunities.