2 Rtmp Jobs

Department: Engineering / Architecture Reports To: VP of Engineering / CTO Role Summary: We are seeking a highly skilled and visionary Solution Architect to lead the design, development, and deployment of scalable, secure, and high-performance video streaming platforms and backend systems. This role requires deep expertise in Python-based microservices, real-time communication protocols, distributed systems, and backend infrastructure supporting video ingestion, processing, and delivery. The Architect will play a strategic role in defining technology roadmaps, solution blueprints, and ensuring robust architectural governance across projects. Key Responsibilities: Define end-to-end architecture for real-time video streaming, recording, and event workflows, ensuring scalability, security, and performance. Lead the design and evolution of microservices using Python and FastAPI, aligned with best practices in API-first development. Architect multi-tenant systems with strict RBAC, data isolation, and support for complex customer hierarchies (Grandparent > Parent > Child). Define integration strategies for data and messaging platforms including PostgreSQL, MongoDB, Redis, Kafka, and TimescaleDB. Architect secure RESTful APIs and WebSocket services with OAuth2, JWT, and robust audit logging for compliance. Design and oversee video streaming infrastructure using WebRTC, RTSP, HLS, RTMP, and SRT protocols. Guide implementation of backend workflows leveraging GStreamer pipelines for video ingestion, transcoding, and ABR playback. Champion event-driven architecture using Kafka or Redis Streams for real-time alerts, analytics, and service communication. Ensure all components follow security-by-design principles in line with OWASP ASVS 4.0.3 and STQC requirements. Collaborate closely with DevOps on infrastructure design, CI/CD automation, and high-availability deployments using Docker and Kubernetes. Perform architectural reviews, mentor engineers, and enforce scalable coding practices and secure development lifecycle (SDLC). Required Skills & Experience: 10+ years of experience in backend development and architecture, with at least 3+ years in designing video or streaming systems. Deep expertise in Python (FastAPI preferred) and asynchronous service frameworks. Strong command of PostgreSQL and MongoDB, including schema design, performance tuning, and scalability. Proven experience with Redis, Kafka, and object storage systems like MinIO or AWS S3. Hands-on architectural knowledge of streaming protocols (WebRTC, RTSP, HLS, RTMP) and video delivery optimization. Expertise in GStreamer or similar multimedia frameworks for streaming and transcoding workflows. In-depth understanding of secure API development, including OAuth2, JWT, TLS, and encryption best practices. Familiarity with Docker, Kubernetes, and service orchestration in production environments. Experience with high-throughput, low-latency systems and distributed computing principles. Preferred Qualifications: Experience with WebRTC media servers such as MediaSoup or Janus. Knowledge of TimescaleDB for time-series event data. Prior experience building secure, large-scale, real-time video surveillance or media platforms. Exposure to hybrid cloud-edge architectures and edge streaming optimization.

: Responsibilities Design, implement, and maintain scalable microservices using FastAPI and Python for video management, live streaming, recording, and event workflows Develop RESTful APIs and WebSocket services with strong authentication (OAuth2, JWT), RBAC authorization, and detailed audit logging Work on multi-tenant architecture supporting hierarchical customer models (Grandparent Parent Child) with strict data isolation Integrate with PostgreSQL, MongoDB, Redis, Kafka, MinIO (for S3-compatible object storage), and TimescaleDB for time-series event handling Develop services for managing and optimizing real-time video streams using protocols like WebRTC, RTSP, HLS, and RTMP Build and integrate backend systems with GStreamer pipelines for live video ingestion, transcoding, smart playback, and adaptive bitrate streaming (ABR) Implement event-driven and pub/sub patterns using Redis Streams or Kafka for real-time alerts, notifications, and analytics workflows Ensure end-to-end security of APIs and data storage, including encryption at rest and in transit, secure media streaming, and compliance with STQC and OWASP ASVS 4.0.3 Support horizontal scaling, high availability, and failover mechanisms for video services and API gateways Collaborate with DevOps on containerization, CI/CD pipeline integration, monitoring (ELK, Prometheus), and automated deployment Participate in detailed code reviews focused on scalability, performance, and security compliance Required Skills Strong experience with Python and FastAPI (preferred) or equivalent async frameworks Expertise in PostgreSQL and MongoDB database design, scaling, and query optimization Hands-on experience integrating with Redis, Kafka (or equivalent high-throughput message brokers) Deep understanding of streaming technologies and protocols (WebRTC, RTSP, HLS, RTMP, SRT) Experience working with video frameworks such as GStreamer (preferred) or FFmpeg for streaming, transcoding, and adaptive playback Strong knowledge of OAuth2, JWT, RBAC, API security hardening, encryption (TLS), and secure session management Experience working with object storage systems like MinIO or AWS S3 for video and metadata storage Proficiency in containerization (Docker) and familiarity with Kubernetes-based deployments and service discovery Understanding of performance optimization techniques for low-latency systems (async APIs, WebSockets, event-driven design) Familiarity with OWASP ASVS 4.0.3 and STQC application security standards Preferred Skills Experience with WebRTC media servers like MediaSoup, Janus, or custom WebRTC implementations Understanding of time-series data processing with TimescaleDB Prior experience in building or integrating secure, real-time, large-scale video surveillance systems Exposure to edge-based streaming or hybrid cloud-edge recording models