Software Engineer, Content Engineering

Paramount is on a mission to unleash the power of content and is seeking a Software Engineer to build and scale systems that enhance content understanding and personalization. The role involves working with core infrastructure and internal tools to improve metadata ingestion, impacting user experience across Paramount's streaming services.

Responsibilities:

• Design, build, and maintain backend services that support content understanding, metadata modeling, and enrichment workflows
• Contribute to systems that process and manage metadata for a large-scale, global content catalog
• Maintain and expand the API layer and data models across two provider contexts (Paramount+ and PlutoTV) as the codebase converges toward a unified multi-tenant architecture
• Uphold engineering quality through test coverage, code reviews, and consistent application of coding standards
• Support editorial curation workflows that feed the personalization experience, ensuring curators have the tooling and data quality needed to make effective content decisions

Requirements:

• 3+ years of professional software engineering experience
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
• Strong proficiency in a Python web API and ORM framework (Django/ORM/DRF preferred)
• Knowledge of cloud infrastructure including managed databases, object storage, and container orchestration (GCP, AWS, or Azure)
• API design with backwards compatibility across multiple consumer teams
• Relational data modeling for transactional systems
• Experience building data engineering pipelines, including best practices like defensive coding at ingestion boundaries, instrumentation to surface anomalies early, and awareness of data drift so that quality issues are caught before they propagate downstream
• Django and Django REST Framework for production backend applications
• Google Cloud Platform: Cloud SQL, BigQuery, Cloud Storage, Secret Manager, GKE
• Google Cloud Pub/Sub subscriber/publisher patterns
• Elasticsearch index management, full-text search, mapping updates
• Experience building content metadata management systems
• Exposure to personalization, recommendation systems, or ML-adjacent platforms
• Experience working in event-driven architectures, designing systems around async pipelines