• Architect, configure, and optimize live and on-demand streaming pipelines using Wowza Streaming Engine • Configure and optimize Wowza Streaming Engine Transcoder for real-time workflows • Develop custom Java modules and extensions for transcoding pipelines • Implement hardware-accelerated transcoding (NVIDIA CUDA/NVENC, AMD GPUs) for high-density encoding • Design and implement CMAF packaging workflows for HLS/DASH delivery • Configure adaptive bitrate ladders with seamless switching • Optimize encoding parameters (MainConcept, AMD, x264/x265) for quality vs. bitrate trade-offs • Implement Low-Latency HLS (LL-HLS) streaming with sub-3 second latency • Benchmark and optimize transcoding performance across CPU and GPU resources • Configure CMAF packetization, manifest manipulation, and push publishing to CDNs • Handle ID3 metadata insertion, SCTE-35 markers, and DRM-protected CMAF streams • Troubleshoot and resolve performance issues including frame drops, audio sync, and encoding artifacts • Configure GOP structures, B-frames, and deinterlacing; optimize transcoding for 4K/UHD workflows • Manage concurrent channels and resource allocation; debug encoding artifacts and ensure SLA-quality performance