Python and Kubernetes Software Engineer

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Join to apply for the
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
role at
Canonical
Location:
This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours. Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
We are hiring
Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
to join our teams building open source solutions for public cloud and private infrastructure.
What your day will look like
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
What we are looking for in you
Professional or academic software delivery using Python
Exceptional academic 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
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
Passionate about 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
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, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge 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 create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr