Python & Kubernetes AI/ML Data Engineer

Canonical; A distancia; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading open-source software company in Spain is seeking Python and Kubernetes Specialist Engineers to focus on Data, AI/ML, and Analytics Solutions. Candidates will develop and maintain solutions deployed on public and private clouds, collaborate with distributed teams, and interface with open-source communities. Ideal applicants will have strong Python skills, a technical degree, and experience with Kubernetes and Linux. This role supports remote work and regular team sprints across global locations.

Servicios

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Formación

• Professional or academic software delivery using Python.
• Exceptional academic track record from both high school and university.
• Confidence to respectfully speak up and share ideas.
• Experience with Linux (Debian or Ubuntu preferred).
• Ability to travel twice a year for company events.

Responsabilidades

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

Conocimientos

Python

Kubernetes

Linux

Machine learning

Interpersonal skills

Educación

Undergraduate degree in a technical subject

Herramientas

Docker

AWS

Azure

Google Cloud

Descripción del empleo

A leading open-source software company in Spain is seeking Python and Kubernetes Specialist Engineers to focus on Data, AI/ML, and Analytics Solutions. Candidates will develop and maintain solutions deployed on public and private clouds, collaborate with distributed teams, and interface with open-source communities. Ideal applicants will have strong Python skills, a technical degree, and experience with Kubernetes and Linux. This role supports remote work and regular team sprints across global locations.