Architect /Senior Architect

Role Overview: As a hands-on technical architect, you will lead the Video Analytics & Surveillance platform. Your experience in architecting end-to-end video streaming infrastructure will be crucial in optimizing and improving video codec efficiency, encoder rate control, transcode speed, video pre/post-processing, and error resilience. Your role will involve enhancing end-to-end video experiences on lossy networks in various user scenarios. Key Responsibilities: - Lead the optimization and improvement in video codec efficiency, encoder rate control, transcode speed, video pre/post-processing, and error resilience. - Improve end-to-end video experiences on lossy networks in various user scenarios. - Review code and mentor the team to improve the quality and efficiency of the delivery. - Define the video optimization roadmap for both low-end and high-end networks and devices. - Build tools and distributed software to automatically gather user stats to improve algorithms. Qualification Required: - Expert level Python programming language skills is a MUST. - Knowledge of streaming protocols RTSP, RTMP, HLS (streaming at scale), MPEG-DASH. - Working knowledge of industry standard H.264, HEVC, AAC, AC-3 A/V, H.265, VP8/VP9 and AV1 codecs. - Familiar with Frontend Technologies (HTML5, CSS3, Javascript, JQuery, NodeJS, VideoJS). - Hands-on experience with container technologies Docker and Kubernetes. - Knowledge of database languages (e.g. MongoDB, SQL, No-SQL) and familiar with version control practices and tools (Git, Gitlab etc.). - Experience in dealing with video players on multiple platforms such as iOS, ExoPlayer, Roku, video.js and hls.js. - Experience in deploying applications at scale on serverless and on-prem platforms. - Experience in integrating iot/sensors with existing solutions. - Experience in CI-CD pipelines, automating training/deployments. - Proficient in FFmpeg/Gstreamer command-line tools and libraries. - Must have 2+ years experience with the expert-level understanding of Full-Stack technologies including some understanding of Deep Learning/ Machine Learning. - Masters degree in computer science/engineering/mathematics. - Deep knowledge of common programming languages and scripting languages, such as Python & C++. - Experience with streaming quality optimization on mobile devices. - Experience collaborating cross-functionally between groups with different video technologies and pipelines.,