Canonical
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Canonical, Seattle, Washington, us, 98127
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
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Canonical Overview
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. With a founder-led, profitable, and growing company, we hire
Python and Kubernetes Specialist Engineers
to develop open source solutions for cloud and infrastructure. Responsibilities
Develop understanding of the Linux stack, from kernel to application layer Design, build, and maintain solutions on cloud and local environments Work with distributed systems concepts like observability, identity, and tracing Collaborate on Kubernetes and open source applications Engage with global, distributed teams and communities Qualifications
Experience in software delivery using Python Strong academic record and technical degree or equivalent experience Effective communication skills in English Experience with Linux, especially Debian or Ubuntu Interpersonal skills, curiosity, flexibility, and accountability Willingness to travel twice a year for company events Preferred Skills
Experience with machine learning libraries and cloud solutions Knowledge of container technologies and public clouds Passion for software quality and open source projects Benefits
Distributed work environment with in-person team sprints Learning and development budget of USD 2,000/year Performance reviews, recognition rewards, and comprehensive benefits About Canonical
Canonical pioneers open source innovation, publishing Ubuntu and supporting AI, IoT, and cloud platforms. We are a global, inclusive employer committed to diversity and excellence.
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Join to apply for the
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
role at
Canonical Overview
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. With a founder-led, profitable, and growing company, we hire
Python and Kubernetes Specialist Engineers
to develop open source solutions for cloud and infrastructure. Responsibilities
Develop understanding of the Linux stack, from kernel to application layer Design, build, and maintain solutions on cloud and local environments Work with distributed systems concepts like observability, identity, and tracing Collaborate on Kubernetes and open source applications Engage with global, distributed teams and communities Qualifications
Experience in software delivery using Python Strong academic record and technical degree or equivalent experience Effective communication skills in English Experience with Linux, especially Debian or Ubuntu Interpersonal skills, curiosity, flexibility, and accountability Willingness to travel twice a year for company events Preferred Skills
Experience with machine learning libraries and cloud solutions Knowledge of container technologies and public clouds Passion for software quality and open source projects Benefits
Distributed work environment with in-person team sprints Learning and development budget of USD 2,000/year Performance reviews, recognition rewards, and comprehensive benefits About Canonical
Canonical pioneers open source innovation, publishing Ubuntu and supporting AI, IoT, and cloud platforms. We are a global, inclusive employer committed to diversity and excellence.
#J-18808-Ljbffr