Python And Kubernetes Software Engineer - Data, Ai/Ml & Analytics
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 breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT.
We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
As a software engineer on the team, you will collaborate on an end‐to‐end data analytics and MLOps solution composed of popular, open‐source machine learning tools such as Kubeflow, MLFlow, DVC, and Feast.
You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse.
Location: This initiative spans many teams that are home‐based and in multiple time zones.
We aim to keep team members in the same time zone for effective collaboration.
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 publicly 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 an 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
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
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
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
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- *-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
