About Calvis
Calvis is an AI-native physical security platform. Traditional security never learns — guards miss events, patrol routes stay static, and customers find out whether a shift went right only after it's over. We fix that by uniting many licensed security agencies into one intelligent network, then wrapping every shift in an AI Copilot and a 24/7 human Overwatch team. The result: a security operation that gets smarter with every shift — trusted by businesses across warehousing, distribution, manufacturing, retail, and events.
About the role
Live video monitoring is one of our fastest-growing product lines: cameras on customer sites, monitored in real time, with guards dispatched when something happens. You'll build the software behind it: ingest, streaming, event detection, and the operator console.
What you'll do
- •Build reliable video ingest and streaming pipelines from a growing fleet of cameras
- •Apply computer vision / ML to surface real events and cut false alarms
- •Build the monitoring console operators use overnight, every night
- •Wire detections into dispatch, so an alert turns into a guard on-site
- •Own reliability: monitoring is a product that can't go down at 3am
What we're looking for
- •Strong backend or full-stack engineering experience (Python, TypeScript, or similar)
- •Experience with video streaming, computer vision, or real-time systems
- •Pragmatic about ML, happy to use the boring approach when it works better
- •You take ownership of uptime and on-call for what you build