Overview
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics at Canonical. Canonical is a leading provider of open source software and operating systems to the integral enterprise and technology markets. Our platform, Ubuntu, is widely used in cloud, data science, AI, engineering innovation and IoT. We hire globally with distributed collaboration; most roles are home-based with occasional in-person team meetings.
Responsibilities
- Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
- Design, build and maintain solutions 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 engage with upstream and Ubuntu communities
- Generate and discuss ideas, and collaborate on finding effective solutions
What we are looking for
- Professional or academic software delivery using Python
- Strong academic record from high school and university
- Undergraduate degree in a technical subject or a compelling alternative path
- Confidence to speak up, exchange feedback, and share ideas respectfully
- Track record of going above and beyond to achieve outstanding results
- Passion for technology evidenced by personal projects and initiatives
- Strong work ethic and ability to collaborate with 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
- Diversity appreciation and ability to work in a multi-cultural, multi-national organization
- Thoughtfulness and self-motivation
- Result-oriented with a drive to meet commitments
- Ability to travel up to twice a year for company events, up to two weeks
Additional skills
- Proven track record of building 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 contributing to an open source project
What we offer
- Distributed work environment with twice-yearly in-person team sprints
- 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
- 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 publisher of Ubuntu, we are at the center of the open source, AI, IoT and cloud ecosystems. We recruit on a global basis and uphold high standards for new joiners. Most colleagues have worked from home since 2004, and we value thinking differently, working smarter, and continuous learning. Canonical is an equal opportunity employer.
#J-18808-Ljbffr
📌 Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
🏢 Canonical
📍 México