Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Jeddah, Saudi Arabia
Listed on 2025-12-02
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Software Development
Software Engineer, Cloud Engineer - Software, AI Engineer, DevOps
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 Click House. 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
- 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
- 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
- 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…
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