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

SupportFinity™; North Carolina; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Maternity and paternity leave

Job summary

A pioneering tech firm is seeking a Python and Kubernetes Software Engineer to work on Data, AI/ML, and Analytics solutions. You will collaborate with a distributed team, develop solutions for public and private clouds, and engage with open-source communities. The ideal candidate will have strong Python skills, a technical degree, and experience with cloud technologies. This role supports a healthy work-life balance and offers professional development opportunities within a diverse environment.

Qualifications

• Professional or academic software delivery using Python.
• Exceptional academic track record from both high school and university.
• Confidence to exchange feedback and share ideas.
• Result-oriented, with a personal drive to meet commitments.

Responsibilities

• Design, build and maintain solutions for public and private clouds.
• Collaborate proactively with a distributed team.
• Debug issues and interact in public with upstream and Ubuntu communities.

Skills

Python

Linux (Debian or Ubuntu)

Machine Learning Libraries

Interpersonal Skills

Container Technologies

Public Clouds

Education

Undergraduate degree in a technical subject

Tools

Kubernetes

Docker

Job description

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

Canonical | Posted Feb 23, 2025

Full-time • North Carolina • Negotiable • Entry (0-2 yrs)

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 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, 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 an end-to-end data analytics and mlops solution composed of popular, open-source machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache Superset, dbt, and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. 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.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have

• Hands-on experience with machine learning libraries or tools
• Proven track record of building highly automated machine learning solutions for the cloud
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

What we offer colleagues

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Note: Job code EX-80B15065 is provided for reference; please follow official application instructions in the posting.

Ask AI • Match my CV to this job • Apply

Be vigilant about potential scams, phishing attempts, or fraudulent activities, and seek credible sources or reviews to assess the trustworthiness of the company. Remember, your personal and financial security is paramount, and taking preventive measures is crucial to safeguarding your information from potential risks and unauthorized use. SupportFinity is not responsible for any consequences that may arise from disclosing such information to unauthorized or fraudulent entities.