Senior OTT Software Engineer

Job not on LinkedIn

September 26

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Logo of Provectus

Provectus

Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Develop and maintain OTT applications across Roku OS, webOS, Tizen OS, Fire OS, tvOS, and Android TV. • Build and optimize video playback experience (live/on-demand). • Ensure app compliance with store guidelines, certification, and performance requirements. • Integrate with REST APIs, and analytics/telemetry tools. • Collaborate with product/design/backend teams; lead code reviews and mentor peers.

🎯 Requirements

• 5+ years in software engineering, with 3+ years focused on OTT applications. • Proven track record of published apps on major TV platforms, demonstrating end-to-end delivery. • Strong expertise in Roku OS development with BrightScript and SceneGraph, including certification for the Roku Channel Store. • Solid experience with React Native TV + TypeScript, including focus/remote navigation, cross-platform builds, and the modern React Native ecosystem (navigation, state management, testing, build tools). • Experience with webOS, Tizen OS, Fire OS, tvOS, and Android TV applications development. • Hands-on integration of Bitmovin Player SDK and deep understanding of video streaming protocols (HLS, DASH, DRM). • Strong skills in performance optimization for resource-constrained TV devices. • Familiarity with CI/CD pipelines and best practices for TV app deployment. • Experience with analytics platforms (Amplitude, Google Analytics, Bitmovin Analytics). • English: upper-intermediate or higher.

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