About the Job
The company is founder-led, profitable, and growing.
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.
Key Responsibilities
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
Required Skills & Abilities
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.
