Python and Kubernetes Software Engineer - Remote Position

About the Role

Join Canonical as a Python and Kubernetes Software Engineer, where you will work remotely and contribute to innovative open-source solutions. This role focuses on Data, Workflows, AI/ML, and Analytics, providing you with the opportunity to collaborate with a global team of experts.

What You'll Do

• Develop and maintain end-to-end data analytics and MLOps solutions using popular open-source tools such as Kubeflow, MLFlow, and Feast.
• Design and implement ETL processes, data governance, and visualization tools like Apache SuperSet and dbt.
• Work on workflow orchestration tools such as Airflow and Temporal, and data warehouse solutions like Apache Trino or ClickHouse.
• Collaborate with a distributed team of engineers, designers, and product managers to build solutions deployed on public and private clouds.
• Engage with the upstream and Ubuntu communities to debug issues and contribute to open-source projects.

Requirements

• Professional or academic experience in software delivery using Python.
• Strong understanding of Linux (Debian or Ubuntu preferred).
• Excellent written and spoken English communication skills.
• Experience with container technologies such as Docker and Kubernetes.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

Nice to Have

• Hands-on experience with machine learning libraries and tools.
• Proven track record of building automated machine learning solutions and data pipelines.
• Experience working on open-source projects.

What We Offer

• Competitive salary with annual reviews and performance bonuses.
• Personal learning and development budget of USD 2,000 per year.
• Distributed work environment with opportunities for in-person team sprints.
• Annual holiday leave and maternity/paternity leave.
• Employee Assistance Programme and travel upgrades for company events.