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

Canonical; San Diego (CA); Remote; USD 100,000 - 150,000; Full time

Job summary

Canonical is seeking a Python and Kubernetes Software Engineer to develop open source solutions for cloud and infrastructure. The role involves working on data analytics and MLOps solutions, collaborating with a distributed team, and contributing to innovative projects in a remote-first culture. Ideal candidates will have strong Python skills, experience with Kubernetes, and a passion for technology.

Benefits

Annual learning and development budget of USD 2,000

Regular compensation reviews and performance bonuses

Comprehensive benefits including leave and parental leave

Travel opportunities for company events

Distributed work with biannual in-person team sprints

Qualifications

• Experience with Python in professional or academic settings.
• Strong academic record and relevant technical degree or equivalent experience.
• Excellent English communication skills.

Responsibilities

• Understanding Linux stack components from kernel to application layer.
• Designing, building, and maintaining solutions on cloud and local environments.
• Collaborating with a distributed team of engineers, designers, and product managers.

Skills

Python

Kubernetes

Linux

Communication

Teamwork

Adaptability

Education

Technical degree or equivalent experience

Tools

Docker

AWS

Azure

GCP

Kubeflow

MLFlow

Apache Airflow

Job description

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

Join us as a Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics at Canonical.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as cloud, data science, AI, and IoT. Our customers include top public cloud and silicon providers, and industry leaders worldwide. We are a founder-led, profitable, and growing company, with a distributed team across 70+ countries.

We are hiring Python and Kubernetes Specialist Engineers to develop open source solutions for cloud and infrastructure, focusing on Data, Workflows, AI/ML, and Analytics. Your work may involve end-to-end data analytics, MLOps solutions with tools like Kubeflow, MLFlow, DVC, Feast, and data governance and visualization tools like Apache SuperSet, dbt, Airflow, Temporal, or data warehouses such as Apache Trino or ClickHouse. These solutions could be deployed on servers or cloud, on Kubernetes, or as web services.

Our work supports individuals, community members, and enterprise clients, with a focus on open source accessibility. Most team members work remotely, with some in the same time zones to facilitate collaboration.

Responsibilities include:

• Understanding Linux stack components from kernel to application layer
• Designing, building, and maintaining solutions on cloud and local environments
• Mastering distributed systems concepts like observability and tracing
• Working with Kubernetes and open-source machine learning applications
• Collaborating with a distributed team of engineers, designers, and product managers
• Debugging issues and engaging with upstream and community forums
• Sharing ideas and collaboratively finding solutions

Ideal candidate profile:

• Experience with Python in professional or academic settings
• Strong academic record and relevant technical degree or equivalent experience
• Confident communicator, proactive feedback exchange, and idea sharing
• Demonstrated ability to exceed expectations and deliver results
• Passion for technology through personal projects
• Strong work ethic, confidence, and teamwork skills
• Excellent English communication skills
• Experience with Linux (preferably Debian or Ubuntu)
• Interpersonal skills, curiosity, adaptability, and accountability
• Appreciation for diversity and multicultural environments
• Self-motivated and thoughtful
• Result-driven with a commitment to meet goals
• Ability to travel twice a year for company events

Additional desirable skills:

• Experience building automated ML solutions, data pipelines, or workflows
• Familiarity with machine learning libraries or tools
• Experience with container tech (Docker, LXD, Kubernetes)
• Knowledge of public cloud platforms (AWS, Azure, GCP)
• Understanding of cloud computing principles
• Passion for software quality and testing
• Contributions to open source projects

What we offer:

• Distributed work with biannual in-person team sprints
• Annual learning and development budget of USD 2,000
• Regular compensation reviews and performance bonuses
• Comprehensive benefits including leave, parental leave, employee assistance, and travel opportunities

About Canonical:

Canonical is a pioneer in open source, known for Ubuntu, and is committed to diversity and excellence. Our remote-first culture encourages innovative thinking and continuous learning.