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Conntour is a defense-tech startup building next-generation autonomous systems that connect distributed camera networks, AI models, and natural-language interfaces to deliver mission-critical insights in real time. The platform is already protecting sensitive sites for private and government agencies.
As a Senior Backend Engineer, you will be one of the first engineers shaping the foundation of the platform. You'll design and build high-scale, performance-critical backend systems powering real-time video and AI-driven workflows in high-stakes environments. Your work will directly influence architecture, infrastructure, deployment strategy, and engineering standards from the ground up. This is a hands-on role for someone who loves building robust systems, optimizing performance, owning infrastructure, and solving hard problems where reliability and speed are critical.
You'll work on real-time vision models, multimodal AI, distributed video systems, and fast operational interfaces. Your systems will help protect lives and critical infrastructure. As one of the first 10 employees, you'll have ownership from day one and help shape the company's technical direction, engineering culture, and architecture.
The role involves designing and operating AI inference services at scale across distributed GPU clusters, working with high-volume video data streams, and building systems that perform reliably in complex, real-world, high-stakes environments.
REQUIREMENTS:
- 4+ years backend or systems engineering in production environments
- Deep knowledge of distributed systems, networking, and databases
- Production proficiency with Docker, Kubernetes, CI/CD, and observability stacks
- Comfort with pub/sub architectures (Kafka, MQTT)
- Experience designing and operating AI inference services at scale (Triton, TensorRT, ONNX Runtime) across distributed GPU clusters
- Experience with computer-vision/AI model serving, on-prem/edge deployments, or security-sensitive/government environments
- Computer Science degree
- Expertise in Python
BIG BONUSES:
- Hands-on experience integrating LLMs (RAG, agents)
- Knowledge of stream-processing for high-volume video data
- Expertise in Go, Rust, or C++
