Senior Software Engineer: Go, Data & LLM-Driven Platforms

Canonical Ltd.; Stockholms kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Annual learning budget USD 2,000

Performance-based bonus or commission

Annual compensation review

Generous holiday leave

Wellness platform & assistance program

Travel to team locations

Job summary

Canonical Ltd. is seeking engineers to design and build internal systems with the same rigor as Canonical's public products. You will own features from spec to production and contribute across Go services, frontend UIs, data pipelines, and LLM-powered workflows.

The role emphasizes collaboration in a distributed team, high standards for testing, security, and performance, and frequent in-person sprints at global locations.

Qualifications

• Expertise in at least two of: Go backend services, modern front-end (React/Svelte/TS), data engineering/analytics, data visualization, and applied LLM/ML in production workflows.
• Strong testing, security, performance and accessibility mindset.
• Ability to work effectively in a distributed team and own work from spec to production.

Responsibilities

• Design and deliver systems and platforms, including intuitive UIs.
• Build Go services and APIs connecting multiple data sources.
• Design data models and architecture for connected systems.
• Turn data into dashboards and visualisations.
• Incorporate LLM-powered features into workflows.
• Write specs, estimate work and deliver to criteria.
• Maintain code quality through reviews, tests and documentation.
• Collaborate with non-technical colleagues to turn needs into tools.
• Mentor engineers and improve team processes.

Skills

Go back-end

React/TypeScript front-end

Data engineering

Data visualization

Applied LLM/ML in prod

Tools

Kubernetes

PostgreSQL

Docker

React

Svelte

Job description

Canonical Ltd. is seeking engineers to design and build internal systems with the same rigor as Canonical's public products. You will own features from spec to production and contribute across Go services, frontend UIs, data pipelines, and LLM-powered workflows.

The role emphasizes collaboration in a distributed team, high standards for testing, security, and performance, and frequent in-person sprints at global locations.