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

Canonical

Remote

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Canonical is a leading provider of open source software and operating systems, and they are seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. The role involves collaborating on end-to-end data analytics and MLOps solutions and integrating with other teams to build a comprehensive data platform.
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
Qualifications:
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:
• 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
Company:
Canonical, the publisher of Ubuntu, delivers trusted open source for everyone and provides security, support and services to enterprises. Founded in 2004, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.

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