A defense-tech startup, building an AI-powered autonomous systems that connect cameras, sensors, and natural-language interfaces, is looking for a Senior Backend Engineer, to take full ownership of high-performance, low-latency backend systems, design scalable infrastructure, and help shape the core architecture of the platform in a hands-on, early-stage environment.
Responsibilities:
Design and build scalable backend services for real-time systems
Develop data pipelines for video streams, camera networks, and AI outputs
Own backend architecture (APIs, databases, infrastructure, observability)
Build low-latency, high-performance distributed systems
Work closely with ML, product, and infrastructure teams
Maintain production infrastructure using Docker, Kubernetes, CI/CD
Improve system performance and reliability end-to-en
Responsibilities:
Design and build scalable backend services for real-time systems
Develop data pipelines for video streams, camera networks, and AI outputs
Own backend architecture (APIs, databases, infrastructure, observability)
Build low-latency, high-performance distributed systems
Work closely with ML, product, and infrastructure teams
Maintain production infrastructure using Docker, Kubernetes, CI/CD
Improve system performance and reliability end-to-en
Requirements:
5+ years of backend / full-stack experience (backend-leaning)
Strong experience with distributed systems and system design
Hands-on experience with Kubernetes, Docker, CI/CD
Strong API design and database experience (e.g. PostgreSQL)
Experience working in fast-paced, production environments
Computer Science degree or equivalent
Nice to Have:
Python (FastAPI) experience
Experience with real-time video / streaming systems
AI/ML infrastructure, LLMs, or computer vision experience
GPU / inference pipelines (e.g. NVIDIA DeepStream)
Edge / on-prem deployments
Defense-tech / robotics / autonomous systems background
Early-stage startup experience (0→1)
5+ years of backend / full-stack experience (backend-leaning)
Strong experience with distributed systems and system design
Hands-on experience with Kubernetes, Docker, CI/CD
Strong API design and database experience (e.g. PostgreSQL)
Experience working in fast-paced, production environments
Computer Science degree or equivalent
Nice to Have:
Python (FastAPI) experience
Experience with real-time video / streaming systems
AI/ML infrastructure, LLMs, or computer vision experience
GPU / inference pipelines (e.g. NVIDIA DeepStream)
Edge / on-prem deployments
Defense-tech / robotics / autonomous systems background
Early-stage startup experience (0→1)
This position is open to all candidates.
