Architect /senior Architect

Year Pune, Maharashtra, India

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General Summary of the Role:

A hands-on technical architect to lead Video Analytics & Surveillance platform.
An ideal candidate would have worked in large scale video platforms (Youtube, Netflix,
Hotstar, etc) or video analytics companies (Videonetics, Staqu, Intelli-vision, etc.)with
experience in architecting end to end video streaming infrastructure.
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.

Skills 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.
Optimize software to run in real-time on multiple computing platforms.
Identify various opportunities to optimize in video codec, pipeline, error resilience.
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\xe2\x80\x99 experience with the expert-level understanding of Full-Stack technologies
including some understanding of Deep Learning/ Machine Learning.
Master\xe2\x80\x99s 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.

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