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Wowza Media Systems is a Colorado-based, globally known leader providing video and media streaming software solutions to customers for whom video is mission critical but not a core competency. Wowza’s software enables its customers to deliver high fidelity video streams from (m)any sources to (m)any destinations, with low latency, reliable at large scale. Wowza’s solutions are implemented across video platforms, gaming, fitness, auction and commerce, education and government applications. The Company is backed by private equity firm Clearhaven Partners. Why Work for Wowza Wowza’s team works to connect the larger community with our passion for tech. From live-streaming graduation ceremonies for local high schools to participating in events like SheTech, employees are able to cultivate the same creative energy that first brought the company to life. Employees are encouraged to take ownership of their role with limited oversight — and coworkers are happy to help one another out. Wowza Media Systems is an equal opportunity employer, committed to creating a diverse and inclusive environment for all people to thrive in.
Backend Engineer - Video Intelligence
Location
United States
Posted
54 days ago
Salary
0
Seniority
Mid Level
Job Description
Backend Engineer - Video Intelligence
Wowza Media Systems
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 protocols Build and maintain high-performance AI inference pipelines that process thousands of video frames per second Optimize GPU utilization, model sharing, and resource allocation across concurrent video streams Evaluate and integrate computer vision models (object detection, scene classification, VLMs) into production services Implement fair scheduling algorithms and multi-device inference coordination Monitor and optimize production systems for memory efficiency, inference latency, and throughput Work with product management to translate business requirements into technical solutions Learn 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 engineering 5+ years of backend development experience with Python, particularly modern async frameworks (FastAPI, asyncio) Strong understanding of concurrent programming, async/await patterns, and event-driven architectures Experience with real-time systems, WebSocket protocols, and binary data streaming Knowledge of performance optimization including profiling, memory management, and bottleneck analysis Strong understanding of distributed systems concepts: load balancing, resource pooling, fair scheduling Experience with REST APIs, protocol design, and client-server architectures Solid debugging skills for complex multi-threaded/async systems Strong motivation to learn new technologies and domains, particularly video processing and AI/ML integration Good communication skills and ability to work effectively in a collaborative environment Commitment 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 production Experience with PyTorch, TensorFlow, or other ML frameworks for model integration (not ML research) Familiarity with ML inference optimization Understanding of video codecs, frame encoding/decoding, and media transport protocols Experience with object tracking algorithms or real-time video analytics Background in high-throughput data processing or stream processing systems Knowledge of Wowza Streaming Engine or similar media server platforms Tech Stack Languages: Python (modern type hints, async/await) Frameworks: FastAPI AI/ML: PyTorch, TensorRT, OpenCV, Hugging Face, computer vision models Infrastructure: Docker, Github Actions Protocols: WebSocket, binary streaming, custom protocols Tools: 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
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