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

Overview

Canonical is a leading provider of open source software and operating systems. Our platform, Ubuntu, is widely used in enterprise initiatives across cloud, data science, AI, engineering, and IoT. We serve customers including leading public cloud and silicon providers and operate globally with distributed teams. We hire Python and Kubernetes Specialist Engineers focused on Data, AI / ML and Analytics Solutions to join 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 open-source 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 solutions from other teams to build an end-to-end data platform. Solutions may run on servers or in the cloud, on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of Global 2000 and Fortune 500 customers; our primary work is available free of charge and our Pro subscriptions are available to individuals for personal use at no cost. Our goal is to enable more people to benefit from open source. Location :

This initiative spans many teams that are home-based and in multiple time zones. We value distributed collaboration but also aim for colleagues to have company during their work hours. Successful candidates will join a team where most members and managers are broadly in the same time zone to ensure constant collaboration and discussion.

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 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 engage 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

Strong academic record from high school and university

Undergraduate degree in a technical subject or a compelling narrative about an alternative path

Confidence to respectfully speak up, exchange feedback, and share ideas

Track record of going above and beyond to achieve outstanding results

Passion for technology evidenced by personal projects and initiatives

Work ethic and confidence 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

Appreciation of diversity and ability to operate in a multi-cultural, multi-national organization

Thoughtfulness and self-motivation

Result-oriented with a personal drive to meet commitments

Ability to travel up to two weeks per year for company events

Additional Skills That Would Be Nice To Have

Hands-on experience with machine learning libraries or tools

Proven track record of building 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 contributing to 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 software landscape. We recruit globally and set high standards for new joiners. Most team members have worked from home since Canonical’s inception in 2004. Working here is a step into the future, challenging you to think differently, work smarter, and learn new skills.

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.

Details

Seniority level : Entry level

Employment type : Full-time

Job function : Engineering and Information Technology

Industries : Software Development

Referrals increase your chances of interviewing at Canonical. Get notified about new Software Engineer jobs in Jiddah, Makkah, Saudi Arabia.

Related roles : Software Engineer (Python / Linux / Packaging); Software Engineer - Cross-platform C++ - Multipass; Software Engineer - Solutions Engineering; Distributed Systems Software Engineer, Python / Go; Software Engineer - Immutable Ubuntu Desktop; Python Software Engineer - Ubuntu Hardware Certification Team; Embedded Linux Senior Software Engineer - Optimisation; Senior Software Engineer - Python / MongoDB; Python and Kubernetes Software Engineer - Data, Workflows, AI / ML & Analytics; Software Engineer, Ceph & Distributed Storage

We’re unlocking community knowledge in a new way. Experts add insights directly into articles, started with the help of AI.

#J-18808-Ljbffr