C++ Engineer — Desktop Platform & AI Integrations

Spotify

Greater London

Hybride

GBP 90 000 - 140 000

Plein temps

14 jours+

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Résumé du poste

Spotify is seeking a desktop-focused C++ engineer to maintain and extend the Desktop app across macOS and Windows. You will build native capabilities for UI teams and improve delivery pipelines, while collaborating with partners and a distributed team.

Join a role grounded in systems engineering, performance, and user experience, with opportunities to explore AI agent integrations and new platform capabilities.

Qualifications

  • Strong C++ development skills and production software experience.
  • Able to navigate large codebases across languages and systems.
  • Willing to take ownership of systems through maintenance and improvement.
  • Enjoy solving complex problems and thriving in ambiguity.
  • Curious to learn new technologies and domains.
  • Collaborates effectively across distributed teams.

Responsabilités

  • Contribute to and maintain Spotify’s Desktop C++ application across macOS and Windows.
  • Develop native container capabilities for UI teams to build new experiences.
  • Improve platform systems, CI, build pipelines, packaging, and delivery.
  • Develop and maintain backend services supporting content delivery and tooling.
  • Build OS integrations and partner platform connections.
  • Collaborate with external partners to leverage latest platform capabilities.
  • Contribute to AI agent integrations in the Desktop experience.
  • Work with a distributed group of engineers to solve cross-technology problems.

Connaissances

C++ development
Codebase navigation
Ownership & maintenance
Problem solving
Learning new technologies
Collaborative teamwork
Distributed teams

Description du poste

Spotify is seeking a desktop-focused C++ engineer to maintain and extend the Desktop app across macOS and Windows. You will build native capabilities for UI teams and improve delivery pipelines, while collaborating with partners and a distributed team.

Join a role grounded in systems engineering, performance, and user experience, with opportunities to explore AI agent integrations and new platform capabilities.

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