Full Stack Cloud Engineer (AWS, Go, Live Video)

Eye builds AI-powered drones for first responders and law enforcement. The live video our drones stream is the heart of the product, and Defend

Eye Cloud is what carries it from the drone to the browser in seconds. We need one expert to own it. You will run Defend

Eye Cloud end to end: the AWS infrastructure, the Go services, and the live video pipeline.

Own and manage Defend

Eye Cloud on AWS: architecture, deployment, monitoring, security, reliability, and cost. Run the live video pipeline end to end: ingest into AWS, fragment and segment creation, HLS (HTTP Live Streaming) packaging, and delivery to the browser. Today it is pure H.265, with no transcoding to H.264.

Cut latency. Find where every second goes, from segment and fragment size to sender and player buffering, and remove it. Track KPIs across the whole chain, from drone and ground station to upload, AWS ingest, and browser playback: bitrate, dropped frames, queue depth, jitter, and rebuffering.

Build and maintain our backend in Go. Most of our code is written in Go. Work with our drone and embedded engineers to test in real field conditions.

5+ years building and running cloud systems, with expert-level AWS across the stack: compute, networking, storage, IAM, containers, infrastructure as code, CI/CD, and observability. Production experience with real-time video and broadcast, including HLS and the full HLS workflow: segmenting, manifests, buffering, and player behavior. Strong kn