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

Canonical; Minneapolis (MN); Remote; USD 90,000 - 130,000; Full time

Job summary

Canonical is seeking a Python and Kubernetes Software Engineer to develop open source solutions for data analytics and MLOps. This role involves working with a distributed team to design and maintain solutions across cloud and private infrastructures, requiring strong skills in Python, Kubernetes, and Linux. Canonical offers a flexible work environment and a commitment to diversity and inclusion.

Benefits

Annual learning and development budget of USD 2,000

Regular compensation reviews

Recognition rewards and holiday leave

Maternity and paternity leave

Employee Assistance Programme

Opportunities for travel and team meetups

Qualifications

• Experience in Python software development and Linux (Debian/Ubuntu preferred).
• Degree in a technical field or equivalent experience.
• Excellent English communication skills and interpersonal skills.

Responsibilities

• Designing, building, and maintaining solutions on cloud and private infrastructure.
• Collaborating with a distributed team of engineers, designers, and product managers.
• Debugging issues and engaging with upstream and Ubuntu communities.

Skills

Python software development

Linux

Communication

Collaboration

Curiosity

Flexibility

Education

Degree in a technical field

High school diploma

Tools

Kubernetes

Docker

AWS

Azure

Google Cloud

Job description

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

Join to apply for the Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics role 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 public cloud, data science, AI, engineering innovation, and IoT. Our customers include top public cloud and silicon providers, and industry leaders across sectors. We are a pioneer in global distributed collaboration, with 1000+ colleagues in 70+ countries, mostly working remotely with occasional in-person meetings.

We are hiring Python and Kubernetes Specialists focused on Data, Workflows, AI/ML, and Analytics Solutions to develop open source solutions for cloud and private infrastructure.

As a software engineer, you will work on end-to-end data analytics and MLOps solutions involving tools like Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance, visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, and data warehouse solutions like Apache Trino or ClickHouse. These solutions may run on servers, cloud, Kubernetes, desktops, or as web services.

Our mission is to make open source accessible to more people, offering free primary work and free personal-use Pro subscriptions. Our team collaborates across time zones, with most members in similar time zones for effective communication.

Responsibilities include:

• Understanding the Linux stack from kernel to application layer
• Designing, building, and maintaining solutions on cloud, private infrastructure, and local machines
• Mastering distributed systems concepts such as observability, identity, and tracing
• Working with Kubernetes and open-source applications
• Collaborating with a distributed team of engineers, designers, and product managers
• Debugging issues and engaging with upstream and Ubuntu communities
• Contributing ideas and solutions collaboratively

Ideal candidate profile:

• Experience in Python software development
• Strong academic background from high school and university
• Degree in a technical field or equivalent experience
• Confident communicator, open to feedback, proactive
• Track record of exceeding expectations
• Passionate about technology, demonstrated through personal projects
• Motivated, reliable, and collaborative
• Excellent English communication skills
• Experience with Linux (Debian/Ubuntu preferred)
• Interpersonal skills, curiosity, flexibility, accountability
• Appreciation for diversity and multicultural environments
• Self-motivated and thoughtful
• Result-oriented with a drive to meet commitments
• Willingness to travel twice a year for up to two weeks

Preferred skills:

• Experience building automated machine learning solutions and data pipelines
• Knowledge of machine learning libraries and tools
• Experience with container technologies (Docker, LXD, Kubernetes)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Understanding of cloud computing
• Passion for software quality and testing
• Open source project experience

What we offer:

• Distributed work environment with biannual in-person team sprints
• Annual learning and development budget of USD 2,000
• Regular compensation reviews
• Recognition rewards and holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunities for travel and team meetups

About Canonical:

Canonical is a pioneering open source tech company, publisher of Ubuntu, shaping the future of software. We hire globally and value excellence. Most employees work remotely, fostering a flexible and innovative work environment.

Canonical is an equal opportunity employer, committed to diversity and inclusion, ensuring fair consideration for all applicants regardless of background.