Streaming platform with live sports, news, and entertainment across devices
Paramount+ operates a DTC video streaming service built on polyglot infrastructure (Java, Python, Go, GraphQL) running on AWS, GCP, and OCI, with heavy investment in containerization (Docker, Kubernetes) and client-side optimization (Swift, Kotlin across iOS, tvOS, Android, Roku). The engineering-dominated hiring mix (28 roles) reflects active work on real-time personalization, recommendation systems, and performance optimization across heterogeneous device tiers—a constraint-driven problem set typical of multi-platform streaming at scale.
Paramount+ is a subscription video-on-demand and live streaming service owned by Paramount Global, available in the United States. The platform aggregates content from major Paramount studios—CBS, BET, Comedy Central, MTV, Nickelodeon, Paramount Pictures, and Smithsonian Channel—plus exclusive live sports rights including CBS Sports events and major soccer leagues. The service streams to consumers across web, iOS, tvOS, Android, and Roku, with the ability to tune local CBS stations live. The product spans breaking news (CBSN), sports analysis (CBS Sports HQ), and entertainment coverage (ET Live) alongside a library of series, movies, and originals.
Paramount+ runs on Java, Python, Go, and GraphQL, deployed across AWS, GCP, and OCI with Docker and Kubernetes orchestration. Video delivery uses MPEG-TS and RTMP. Client platforms include Swift (iOS/tvOS), Kotlin (Android), and Roku SDK.
Paramount+ is headquartered in Los Angeles and currently hiring exclusively in the United States across engineering, marketing, product, operations, data, and design.
Paramount+'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.