Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & AnalyticsCanonical • United States
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Canonical
- United States
- United States
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Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
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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 Ubuntuthe most important open source project and the platform for AI, IoT and the cloudwe 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
Compétences linguistiques
- English
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