About this role
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 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
The role
We build internal systems to the same standard as our public products: specified, tested, reviewed and observable. We want engineers who enjoy that rigour and take full ownership of what they ship.
What you will do
- 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 specs, 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
Who you are
You have 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
You also:
- 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 your work from first spec to production
Nice to have: Python, Go, React, Svelte, PostgreSQL, Kubernetes, a history of building tools for HR, finance or operations.
The ideal candidate will use their passion for experimentation and analytics to build tomorrow’s tech organisation. This team will help us gain insights into the business and our talent pool, and use those insights to improve the experience of working at Canonical.
As a Workplace Engineer at Canonical, you need an analytical, data-driven mind and a passion to connect and make sense of interesting data from APIs. We focus heavily on the collection of metrics, optimising processes, and ways of working across Canonical. You need to demonstrate leadership, excellence, and consistency and will mentor others in the team.
What we offer colleagues
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 recognize outstanding performance. In addition to base pay, we offer a performance-driv
Posted 22 October 2026