Python & Kubernetes Data Platform Engineer

Canonical; Marseille; Sur place; EUR 45 000 - 75 000; Plein temps

Avantages offerts par ce poste

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

Annual compensation review

Employee Assistance Programme

Opportunity to travel to new locations

Résumé du poste

Canonical is seeking a Python and Kubernetes Specialist Engineer based in France, Provence-Alpes-Côte d'Azur, Marseille. You will work on open-source solutions in data analytics and AI/ML, collaborating with a distributed team of professionals.

The ideal candidate has a strong technical background, experience with Linux, and a passion for technology. This role offers a dynamic work environment with opportunities for personal growth and collaboration across time zones.

Successful candidates will enjoy a competitive compensation package including a learning budget and performance-driven bonuses.

Qualifications

• Exceptional academic track record from both high school and university.
• Confidence to exchange feedback and share ideas.
• Professional written and spoken English.

Responsabilités

• Develop your understanding of the Linux stack.
• Design and build solutions for public and private clouds.
• Collaborate proactively with a distributed team.

Connaissances

Professional software delivery using Python

Experience with Linux

Interpersonal skills

Machine learning libraries

Container technologies

Formation

Undergraduate degree in a technical subject

Outils

Kubernetes

Docker

Machine learning tools

Description du poste

Canonical is seeking a Python and Kubernetes Specialist Engineer based in France, Provence-Alpes-Côte d'Azur, Marseille. You will work on open-source solutions in data analytics and AI/ML, collaborating with a distributed team of professionals.

The ideal candidate has a strong technical background, experience with Linux, and a passion for technology. This role offers a dynamic work environment with opportunities for personal growth and collaboration across time zones.

Successful candidates will enjoy a competitive compensation package including a learning budget and performance-driven bonuses.