Architect / Senior Architect

As a hands-on technical architect, you will be leading the Video Analytics & Surveillance platform. Your responsibilities will include: - Architecting end-to-end video streaming infrastructure with a focus on optimizing and improving video codec efficiency, encoder rate control, transcode speed, video pre/post-processing, and error resilience. - Enhancing end-to-end video experiences on lossy networks across various user scenarios. You should possess the following skills: - Expert level Python programming language skills are a MUST. - Knowledge of streaming protocols RTSP, RTMP, HLS (streaming at scale), MPEG-DASH. - Working knowledge of industry standard codecs such as H.264, HEVC, AAC, AC-3 A/V, H.265, VP8/VP9, and AV1. - Familiarity with Frontend Technologies including HTML5, CSS3, Javascript, JQuery, NodeJS, and VideoJS. - Hands-on experience with container technologies Docker and Kubernetes. - Knowledge of database languages (e.g. MongoDB, SQL, No-SQL) and version control practices and tools (Git, Gitlab etc.). - Experience in dealing with video players on multiple platforms like 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. - Proficiency in CI-CD pipelines, automating training/deployments. - Optimize software to run in real-time on multiple computing platforms. - Define the video optimization roadmap for both low-end and high-end networks and devices. - Proficient in FFmpeg/Gstreamer command-line tools and libraries. - Review code & mentor the team in improving the quality and efficiency of the delivery. - Experience in writing technical architecture documents. - Build tools and distributed software to automatically gather user stats to improve algorithms. Qualification and Experience: - Must have 2+ years of experience with 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.,