
501 - 1000 employees
Founded 2004
🤖 Artificial Intelligence
Open Source • Cloud • Artificial Intelligence
Canonical is the company behind Ubuntu, the world's most popular open-source operating system, which provides fast, modern, and secure Linux solutions for desktops, servers, and cloud environments. They offer a comprehensive set of products and services, including Ubuntu Desktop, Ubuntu Server, cloud solutions such as OpenStack, and tools for managing containerized applications with Kubernetes. Canonical focuses on making open-source technology reliable and accessible across various industries, from IoT and AI to enterprise infrastructure.
🔥 0 minutes ago
Where this job comes from
Posted on Canonical's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

501 - 1000 employees
Founded 2004
🤖 Artificial Intelligence
Open Source • Cloud • Artificial Intelligence
Canonical is the company behind Ubuntu, the world's most popular open-source operating system, which provides fast, modern, and secure Linux solutions for desktops, servers, and cloud environments. They offer a comprehensive set of products and services, including Ubuntu Desktop, Ubuntu Server, cloud solutions such as OpenStack, and tools for managing containerized applications with Kubernetes. Canonical focuses on making open-source technology reliable and accessible across various industries, from IoT and AI to enterprise infrastructure.
• Design and deliver systems and platforms, including intuitive UIs • Build Go services and APIs that connect many data sources • Design data models and architecture for connected systems • Turn data into clear dashboards and visualisations • Build LLM-powered features into everyday workflows • Write specifications, estimate work and deliver to agreed criteria • Set a high bar in code review, testing and documentation • Partner with non-technical colleagues to turn needs into tools • Mentor engineers and improve how the team works • Use experimentation and analytics to gain insights into the business and talent pool • Collect metrics and optimise processes and ways of working across Canonical
• Deep expertise in at least two of: back-end services in Go; modern front-end engineering (React/Svelte/TypeScript); data engineering and analytics; data visualisation; applied LLM/ML in production workflows • Treat testing, security, performance and accessibility as part of the job • Handle sensitive people data with care • Write clearly and work well in a distributed team • Own work from first spec to production • Nice to have: Python, Go, React, Svelte, PostgreSQL, Kubernetes, or a history of building tools for HR, finance or operations
• 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 • Team Member Assistance Program & Wellness Platform • Opportunity to travel to new locations to meet colleagues • Priority Pass and travel upgrades for long-haul company events • Performance-driven annual bonus or commission
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