Senior Digital Workplace Engineer - Remote (EMEA)

Canonical Ltd.

United States

Remote

USD 130,000 - 180,000

Full time

13 days ago

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Benefits offered by this job

Annual bonus/commission
Learning budget USD 2,000 per year
Annual compensation review
Travel opportunities for team events
Wellness Platform

Job summary

Canonical is hiring a Senior Software Engineer for a remote role focused on the Digital Workplace. You will design and deliver systems and platforms, build Go services and APIs, and design data models for integrated data sources.

You’ll turn data into dashboards and incorporate LLM-powered features to improve everyday workflows. Ideal candidates have deep expertise in at least two areas (Go, React/TypeScript, data engineering) and will own work from specs to production, with strong testing,

Qualifications

  • Deep expertise in at least two technical areas: backend Go, frontend React/TS, or data engineering.
  • Testing, security, performance and accessibility are integral to the role.
  • Own your work from first spec to production and communicate clearly in a distributed team.

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.
  • Create dashboards and visualisations from data.
  • Incorporate LLM-powered features into workflows.
  • Write specs, estimate work and deliver to criteria.
  • Maintain code quality through reviews, testing and documentation.
  • Mentor engineers and improve team practices.

Skills

Go backend services
Frontend engineering (React/TS)
Data engineering/analytics

Tools

Go
React
TypeScript
Svelte
PostgreSQL
Kubernetes

Job description

Canonical is hiring a Senior Software Engineer for a remote role focused on the Digital Workplace. You will design and deliver systems and platforms, build Go services and APIs, and design data models for integrated data sources.

You’ll turn data into dashboards and incorporate LLM-powered features to improve everyday workflows. Ideal candidates have deep expertise in at least two areas (Go, React/TypeScript, data engineering) and will own work from specs to production, with strong testing,

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