Canonical
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Canonical, Honolulu, Hawaii, United States, 96814
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
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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 public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, as well as industry leaders. We are a pioneer of global distributed collaboration with 1000+ colleagues in 70+ countries and very few roles based in offices.
This initiative spans many teams that are home-based and in multiple time zones. Successful candidates will join a team where most members and your manager are broadly in the same time zone to ensure constant collaboration.
What your day will look like
Develop a deep 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 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 high school and university
Undergraduate degree in a technical subject or a compelling alternate path
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of exceeding expectations to achieve outstanding results
Passion for technology evidenced by personal projects and initiatives
Strong 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
Thoughtful and self‑motivated
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
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
Passion for 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
Priority Pass, and 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—the most important open source project and the platform for AI, IoT and the cloud—we are changing the world of software. We recruit globally and set a very high standard for people joining the company. Most colleagues at Canonical work from home, and working here challenges 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 creates a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#J-18808-Ljbffr
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 public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, as well as industry leaders. We are a pioneer of global distributed collaboration with 1000+ colleagues in 70+ countries and very few roles based in offices.
This initiative spans many teams that are home-based and in multiple time zones. Successful candidates will join a team where most members and your manager are broadly in the same time zone to ensure constant collaboration.
What your day will look like
Develop a deep 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 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 high school and university
Undergraduate degree in a technical subject or a compelling alternate path
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of exceeding expectations to achieve outstanding results
Passion for technology evidenced by personal projects and initiatives
Strong 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
Thoughtful and self‑motivated
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
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
Passion for 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
Priority Pass, and 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—the most important open source project and the platform for AI, IoT and the cloud—we are changing the world of software. We recruit globally and set a very high standard for people joining the company. Most colleagues at Canonical work from home, and working here challenges 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 creates a better work environment and better products. Whatever your identity, we will give your application fair consideration.
#J-18808-Ljbffr