Warner Music Group

Warner Music Group

Warner Music Group (WMG) is a global music entertainment company that encompasses recorded music, music publishing, and artist services. With a rich history spanning over 200 years, WMG is home to iconic record labels and a leading music publisher, rep...

Media
5K-10K
Founded 1929

Description

  • Build and enhance the analytics platform used to identify and evaluate emerging music talent.
  • Own features through the full development lifecycle, including design, implementation, testing, deployment, and maintenance.
  • Implement maintainable, high-quality, and reliable solutions that scale with business growth.
  • Work closely with team members and engineering leaders to deliver and improve products.
  • Develop and support backend services, APIs, databases, data pipelines, and data warehousing components.
  • Use data from streaming services, social media, and other sources to power talent discovery and trend analysis.
  • Contribute to debugging, testing, monitoring, and incident management for production systems.
  • Collaborate in a fast-paced, evolving environment to deliver meaningful impact to the business.

Requirements

  • 4+ years of backend or full-stack development experience.
  • An undergraduate or graduate degree in Computer Science or a related field.
  • Ability to creatively navigate the open web and reliably source, extract, and integrate disparate data.
  • Strong debugging skills with a solid grasp of testing, monitoring, and incident management.
  • Knowledge of AWS or another large cloud computing environment.
  • Strong understanding of APIs, backend services, databases, data pipelines, and data warehousing.
  • High sense of ownership and ability to deliver in a fast-paced, ambiguous environment.
  • Experience with Ruby on Rails, Postgres, TimescaleDB, Snowflake, TypeScript, React, React Native, and AWS is a plus, but not required.

Benefits

  • Base salary of CAD $90,000 - $135,000 per year.
  • Eligibility for a performance-based annual bonus.
  • Remote work arrangement.
  • Opportunity to work on AI and machine learning products in the music industry.
  • Chance to collaborate with a dynamic, highly effective engineering team.

Interested in this position?

Apply directly on the company website

Apply Now

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