Job Title: Backend Engineer - Video Intelligence Company Name: Wowza Job Details: RemoteFull,Time Job Url: https://hiring.cafe/viewjob/25wqi6nxy9f5fx73 Job Description: Posted 1mo agoBackend Engineer - Video Intelligence@ WowzaView All JobsWebsiteMexicoRemoteFull TimeResponsibilities:design services, build pipelines, optimize performanceRequirements Summary:Senior Backend Engineer with 8+ years software engineering and 5+ years Python async backend experience; strong knowledge of concurrent, distributed systems, real-time video processing, and WebSocket; comfortable with FastAPI.Technical Tools Mentioned:Python, FastAPI, Asyncio, WebSocket, Docker, Github Actions, Pytest, Mypy, Black, Rye Description Wowza powers the world's leading live and on-demand streaming experiences. From global events and enterprise broadcasts to AI-powered video intelligence at the edge, Wowza provides the most trusted, extensible, and developer-friendly streaming platform on the market.We are seeking a Senior Backend Engineer to join our AI-powered video intelligence team. You should have strong experience in Python backend development and building real-time, performance-critical applications, with a passion for learning new domains. While video streaming and AI/ML experience are bonuses, we're looking for someone eager to dive into the intersection of video technology and artificial intelligence. This role requires solid Python programming skills, experience with asynchronous systems, and the ability to work on high-throughput applications that process video streams at scale. The Role The Senior Backend Engineer will design and develop scalable real-time video analysis services using modern Python frameworks. This role operates at the intersection of backend engineering, AI integration, and high-performance computing, building systems that process thousands of video frames per second with computer vision models. What You'll Do Design and develop scalable real-time video analysis services using FastAPI and WebSocket protocolsBuild and maintain high-performance AI inference pipelines that process thousands of video frames per secondOptimize GPU utilization, model sharing, and resource allocation across concurrent video streamsEvaluate and integrate computer vision models (object detection, scene classification, VLMs) into production servicesImplement fair scheduling algorithms and multi-device inference coordinationMonitor and optimize production systems for memory efficiency, inference latency, and throughputWork with product management to translate business requirements into technical solutionsLearn and contribute to video processing and AI/ML technologies as part of your role growth What You Bring 8+ years of experience in commercial software engineering5+ years of backend development experience with Python, particularly modern async frameworks (FastAPI, asyncio)Strong understanding of concurrent programming, async/await patterns, and event-driven architecturesExperience with real-time systems, WebSocket protocols, and binary data streamingKnowledge of performance optimization including profiling, memory management, and bottleneck analysisStrong understanding of distributed systems concepts: load balancing, resource pooling, fair schedulingExperience with REST APIs, protocol design, and client-server architecturesSolid debugging skills for complex multi-threaded/async systemsStrong motivation to learn new technologies and domains, particularly video processing and AI/ML integrationGood communication skills and ability to work effectively in a collaborative environmentCommitment to code quality: type annotations, testing, documentation, and maintainability Strong Plus Experience with video processing, streaming protocols (RTMP, WebRTC, HLS), or media frameworks (FFmpeg, OpenCV)Knowledge of computer vision, object detection, or ML model inference in productionExperience with PyTorch, TensorFlow, or other ML frameworks for model integration (not ML research)Familiarity with ML inference optimizationUnderstanding of video codecs, frame encoding/decoding, and media transport protocolsExperience with object tracking algorithms or real-time video analyticsBackground in high-throughput data processing or stream processing systemsKnowledge of Wowza Streaming Engine or similar media server platforms Tech Stack Languages: Python (modern type hints, async/await)Frameworks: FastAPIAI/ML: PyTorch, TensorRT, OpenCV, Hugging Face, computer vision modelsInfrastructure: Docker, Github ActionsProtocols: WebSocket, binary streaming, custom protocolsTools: Git, pytest, mypy, black, rye (Python packaging) Benefits & Perks •       Paid Time Off•       Medical, Dental, and Vision insurance (effective Day 1)•       401(k) with strong company match•       Dependent Care FSA•       Employer-paid Life Insurance and AD&D•       Paid Parental Leave