Python and Kubernetes Software Engineer - Data, AI/ML & …, Chihuahua

Canonical is a leading provider of open source software and operating systems to the general enterprise and technology markets. Our platform, Ubuntu, is 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, 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 will collaborate on an end‑to‑end data analytics and MLOps solution composed of popular, open‑source machine learning tools such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Location: This initiative spans many teams that are home‑based and in multiple time zones. We aim to keep team members in the same time zone for effective collaboration. What your day will look like
- 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 publicly with upstream and Ubuntu communities
- Generate and discuss ideas, and collaborate on finding good solutions What we are looking for in you
- Professional or academic software delivery using Python
- Exceptional academic track record from high school and university
- Undergraduate degree in a technical subject or an 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
- Work ethic and confidence to shine alongside motivated colleagues
- Professional written and spoken English with excellent presentation skills
- Experience with Linux (Debian or Ubuntu preferred)
- Excellent interpersonal skills, curiosity, flexibility, and accountability
- Appreciative of diversity, polite and effective in a multi‑cultural, multi‑national organisation
- Thoughtfulness and self‑motivation
- Result‑oriented, with a personal drive to meet commitments
- Ability to travel twice a year, for company events up to two weeks long Additional Skills That Would Be Nice To Have
- Hands‑on experience with machine learning libraries or tools
- Proven track record of building highly automated machine learning solutions for the cloud
- Experience with container technologies (Docker, LXD, Kubernetes, etc.)
- Experience with public clouds (AWS, Azure, Google Cloud)
- Working knowledge of cloud computing
- Passionate about software quality and testing
- Experience working on an open source project What we offer colleagues
- 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
- Opportunity to travel to new locations to meet colleagues
- Priority Pass, and travel upgrades for long haul company events Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration. #J-18808-Ljbffr Postúlate en Kit Empleo: kitempleo.com.mx/empleo/5uz3mh