Python & Kubernetes Data & AI Engineer

Canonical; A distancia; MXN 1,349,000 - 1,800,000; Jornada completa

Descripción de la vacante

A global leader in open source software is seeking a Python and Kubernetes Specialist Engineer to build data analytics solutions for public cloud infrastructure. The ideal candidate will possess strong Python and Kubernetes skills, a solid academic background, and be comfortable working in a collaborative remote environment. Responsibilities include designing and maintaining cloud solutions, collaborating with international teams, and contributing to open source initiatives. Canonical offers a supportive distributed work culture with annual development budgets and opportunities for professional growth.

Servicios

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

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Opportunity to travel to meet colleagues

Formación

• Professional or academic software delivery using Python.
• Confidence to exchange feedback and share ideas.
• Ability to travel twice a year for company events.

Responsabilidades

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

Conocimientos

Python

Kubernetes

Machine Learning

Data Pipeline Development

Interpersonal Skills

Educación

Undergraduate degree in a technical subject

Exceptional academic track record

Herramientas

Docker

Linux (Debian or Ubuntu)

Cloud Platforms (AWS, Azure, Google Cloud)

Descripción del empleo

A global leader in open source software is seeking a Python and Kubernetes Specialist Engineer to build data analytics solutions for public cloud infrastructure. The ideal candidate will possess strong Python and Kubernetes skills, a solid academic background, and be comfortable working in a collaborative remote environment. Responsibilities include designing and maintaining cloud solutions, collaborating with international teams, and contributing to open source initiatives. Canonical offers a supportive distributed work culture with annual development budgets and opportunities for professional growth.