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Barco - Senior Lead Development Engineer - Media Platform

Barco - Senior Lead Development Engineer - Media Platform

BARCONoida
4 days ago
Job description

Sr Lead Development Engineer Media Platform

Key Responsibilities :

  • Lead the design, development, and deployment of media processing, streaming, and delivery systems.
  • Collaborate with product managers, architects, and cross-functional teams to define technical requirements and translate them into scalable solutions.
  • Architect and optimize end-to-end media workflows including encoding, transcoding, packaging, DRM, CDN integration, and playback.
  • Ensure system scalability, performance, and reliability for high-traffic media applications.
  • Drive adoption of modern media technologies such as adaptive bitrate streaming (HLS / DASH), low-latency streaming, and cloud-native video pipelines.
  • Conduct code reviews, technical audits, and performance optimizations.
  • Mentor and guide a team of engineers, fostering an environment of innovation and technical excellence.
  • Evaluate emerging media technologies and tools, and recommend adoption where relevant.
  • Ensure compliance with industry standards, security, and digital rights management requirements.
  • Partner with DevOps / MLOps teams to establish CI / CD pipelines, monitoring, and incident response for media services.

Required Skills & Experience :

  • 10+ years of software development experience, with at least 3+ years in a technical leadership / lead role.
  • Strong programming experience in Java, C++, Python, or Go.
  • Deep expertise in media streaming protocols (HLS, MPEG-DASH, RTMP, WebRTC).
  • Hands-on experience with video / audio encoding, transcoding, and packaging technologies (FFmpeg, Wowza, Elemental, etc.).
  • Proficiency in cloud environments (AWS Media Services, Azure Media Services, or GCP equivalent).
  • Experience with DRM systems (Widevine, PlayReady, FairPlay) and content protection mechanisms.
  • Strong understanding of content delivery networks (CDNs) and edge optimization for media.
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes).
  • Excellent problem-solving, debugging, and performance optimization skills.
  • Proven ability to lead development teams and deliver high-quality media solutions at scale.
  • Preferred Qualifications :

  • Bachelors or Masters degree in Computer Science, Information Technology, or related field.
  • Experience with AI / ML for media applications (e.g., video analytics, recommendation engines, automated tagging).
  • Knowledge of low-latency streaming technologies for live events and gaming.
  • Contributions to open-source media projects or publications in the streaming domain.
  • Strong knowledge of Agile / Scrum methodologies.
  • (ref : hirist.tech)

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