Senior Software Engineer - Go, UI & Data Viz, Remote

Canonical Ltd.; Dublin; Remote; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Personal learning and development budg

Annual compensation review

Maternity and paternity leave

Wellness Platform

Travel opportunities to meet team

Team sprints in person twice yearly

Recognition rewards

Holiday leave

Team Member Assistance Program

Job summary

Canonical Ltd. is hiring for an engineer who builds internal systems with the same rigor as public products. You will own from spec to production, mentor peers, and contribute to data-rich dashboards and LLM-powered workflows.

The team operates globally with mostly remote or distributed roles and occasional in-person sprints. We value deep expertise in multiple domains (Go, frontend, data pipelines, ML/LLM) and strong collaboration in a distributed setup.

Qualifications

• Deep expertise in at least two of Go backend, React frontend, data engineering, data visualization or applied LLM/ML.
• Proven ability to design, build and ship reliable systems with attention to testing, security and performance.
• Strong collaboration skills to work with a distributed team and non-technical stakeholders.

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

React

TypeScript

Svelte

Data engineering

Data analytics

Data visualisation

Applied LLM/ML

Tools

PostgreSQL

Kubernetes

Python

Job description

Canonical Ltd. is hiring for an engineer who builds internal systems with the same rigor as public products. You will own from spec to production, mentor peers, and contribute to data-rich dashboards and LLM-powered workflows.

The team operates globally with mostly remote or distributed roles and occasional in-person sprints. We value deep expertise in multiple domains (Go, frontend, data pipelines, ML/LLM) and strong collaboration in a distributed setup.