Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Canonical Group Ltd; México; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading open source software company is seeking a Python and Kubernetes Software Engineer to work on Data, Workflows, AI/ML, and Analytics Solutions. The ideal candidate will have a strong background in Python and a passion for technology. This role offers a distributed work environment, competitive learning budget, and opportunities for personal development.

Servicios

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

Annual compensation review

Recognition rewards

Formación

• Professional software delivery using Python is required.
• Exceptional academic track record is a must.
• Confidence to speak up and share ideas is necessary.

Responsabilidades

• Design, build and maintain solutions deployed on various cloud environments.
• Collaborate with a distributed team on open source solutions.
• Debug issues while interacting with community members.

Conocimientos

Python

Kubernetes

Machine learning

Collaboration

Educación

Undergraduate degree in a technical subject

Descripción del empleo

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Home based - Worldwide

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT.

We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast.

Responsibilities:

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

Requirements:

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives

What we offer:

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme

Canonical is an equal opportunity employer.