Job Details

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

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Role Overview

We are seeking experienced Python and Kubernetes specialists focused on Data, Workflows, AI/ML, and Analytics Solutions to join our team. You will work on open source solutions for public cloud and private infrastructure, involving end-to-end data analytics and MLOps tools such as Kubeflow, MLFlow, DVC, and Feast, along with ETL, data governance, visualization, and workflow orchestration tools.

Responsibilities

• Develop and maintain solutions on various platforms including cloud, servers, and desktops.
• Design distributed systems with emphasis on observability and identity management.
• Collaborate with a distributed team of engineers, designers, and product managers.
• Engage with upstream communities and contribute to open source projects.

Qualifications

• Proficiency in Python for software delivery.
• Strong academic background and relevant technical degree or equivalent experience.
• Experience with Linux (Debian or Ubuntu preferred).
• Excellent communication skills in English.
• Ability to work in a distributed team across time zones.

Desired Skills

• Experience building automated ML solutions and data pipelines.
• Knowledge of container technologies and public cloud platforms.
• Experience with open source projects and software testing.

What We Offer

• Distributed work environment with team sprints twice a year.
• Learning and development budget of USD 2,000 annually.
• Competitive compensation with annual reviews and bonuses.
• Comprehensive benefits including travel opportunities, health, and wellness programs.

About Canonical

Canonical pioneers open source solutions with Ubuntu at the forefront, supporting AI, IoT, and cloud initiatives worldwide. We promote a diverse, inclusive, and innovative workplace, with most employees working remotely since 2004.

Additional Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and IT