We are seeking a Senior Backend Engineer to architect and develop a highly scalable video streaming platform that processes real-time video data from wearable devices and delivers intelligent feedback through advanced machine learning integration.
This role requires designing robust backend systems capable of handling massive concurrent video streams while maintaining exceptional performance, reliability, and security.
You will work with cutting-edge AWS technologies to build infrastructure that supports real-time video processing, ML-powered analytics, and seamless user experiences at an enterprise scale.
Responsibilities:
Design and implement a highly scalable backend architecture for real-time video streaming and processing.
Build robust data pipelines capable of handling massive concurrent video streams from wearable devices.
Develop real-time notification and feedback systems powered by machine learning analytics.
Design secure, fault-tolerant microservices with comprehensive monitoring and observability.
Optimize database design and access patterns for high-throughput video metadata and analytics workloads.
Implement advanced video streaming protocols and multi-protocol support for diverse client requirements.
Integrate machine learning models and AI-powered features into backend services.
Collaborate with cross-functional teams, including ML engineers, mobile developers, DevOps, and hardware specialists.
Ensure system security, data integrity, and compliance across all video processing workflows.
Requirements:
8+ years of experience with Python.
Deep expertise with AWS, particularly video and streaming-focused solutions.
Proven track record designing and building high-scale distributed systems.
Strong database design and optimization skills for performance-critical applications.
Experience with containerization technologies and microservices architecture.
Demonstrated ability to architect systems for massive scale and high availability.
Strong analytical and problem-solving capabilities with complex distributed systems.
Excellent communication skills and a collaborative approach to technical challenges.
At least Intermediate English proficiency (both written and spoken).
