Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Join to apply for the Python and Kubernetes Software Engineer - Data, AI/ML & Analytics role at Canonical
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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Join to apply for the Python and Kubernetes Software Engineer - Data, AI/ML & Analytics role at Canonical
Continue with Google Continue with Google
Continue with Google Continue with Google
Continue with Google Continue with Google
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. The company is founder led, profitable and growing. 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'll 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. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers;
Location: This initiative spans many teams that are home-based and in multiple time zones. 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
Work with both Kubernetes and machine-oriented open source applications
Debug issues and interact in public with upstream and Ubuntu communities
Professional or academic software delivery using Python
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Passion for technology evidenced by personal projects and initiatives
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred)
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
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
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We balance our programs to meet local needs and ensure fairness globally.
Personal learning and development budget of USD 2,000 per year
Annual holiday leave
Canonical is a pioneering tech firm at the forefront of the general 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 general basis and set a very high standard for people joining the company. 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.
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
Industries Software Development
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