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

Canonical Ltd. · AnywhereRemotejunior

In short

▸Ingeniero de software en Python y Kubernetes para soluciones de datos, IA/ML y flujo de trabajo.
▸Trabajas con herramientas de código abierto como Kubeflow, MLflow, Airflow, DVC, Feast, Trino y ClickHouse en entornos cloud y local.
▸Colaboras con un equipo distribuido globalmente, con foco en código abierto y entornos de trabajo remoto con horarios alineados.

Professional written and spoken English with excellent presentation skills

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

What they ask for

✓Experiencia profesional o académica en entrega de software con Python
✓Título universitario en una carrera técnica o narrativa convincente sobre trayectoria alternativa
✓Inglés profesional escrito y hablado con excelentes habilidades de presentación
✓Experiencia práctica con Linux (preferiblemente Debian o Ubuntu)
✓Capacidad de comunicarse con confianza, dar y recibir retroalimentación
✓Pasión por la tecnología demostrada en proyectos personales o iniciativas propias

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonKubernetesKubeflowMLflowDVCFeastApache SupersetdbtApache AirflowTemporal

Who should you write to at Canonical Ltd.?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. 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. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

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