Senior Software Engineer — Go, Data & LLM Dashboards (Remote)

Canonical Ltd.; Helsinki; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Distributed teamwork

Learning budget

Annual review

Recognition rewards

Holiday leave

Parental leave

Wellness program

Travel opportunities

Travel upgrades

Job summary

Canonical is seeking engineers to design and deliver robust internal systems, building Go services and APIs that integrate multiple data sources. The role focuses on end-to-end ownership, from specifications to production, with emphasis on testing, security, performance, and accessibility.

You will mentor others and collaborate in a distributed team, contributing to data tooling and LLM-powered features. Nice-to-have skills include Python, Go, React, Svelte, PostgreSQL, and Kubernetes.

Qualifications

• Deep expertise in at least two of the listed areas.
• Ability to mentor engineers and improve team processes.
• Comfort delivering end-to-end features with a strong focus on reliability.

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.

Skills

Go backend

Frontend React/Svelte/TS

Data engineering

Data visualisation

Applied LLM/ML

Tools

Kubernetes

PostgreSQL

React

Svelte

Python

Go

Job description

Canonical is seeking engineers to design and deliver robust internal systems, building Go services and APIs that integrate multiple data sources. The role focuses on end-to-end ownership, from specifications to production, with emphasis on testing, security, performance, and accessibility.

You will mentor others and collaborate in a distributed team, contributing to data tooling and LLM-powered features. Nice-to-have skills include Python, Go, React, Svelte, PostgreSQL, and Kubernetes.