Canonical · 2 weeks ago
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
United States
Full-time
Remote
New Grad, Entry LevelCanonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. They are seeking Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML, and Analytics Solutions to build open source solutions for public cloud and private infrastructure.
Computer Software
Responsibilities
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
Qualification
Required
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
Preferred
Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud
Hands-on experience with machine learning libraries, or tools
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
Benefits
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
Priority Pass, and travel upgrades for long haul company events
Company
Canonical
We deliver open source to the world faster, more securely and more cost effectively than any other company.
Founded in 2004
1001-5000 employees
H1B Sponsorship
Canonical has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (1)
2023 (1)
2022 (3)
2021 (1)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Kara Stemig
Partner Marketing Manager, Public Cloud
Recent News
2025-10-01
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