Senior Backend Engineer - Virtual Guard

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About the role

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role You will build and scale the backend systems powering a new generation of AI-driven physical security products. This includes designing the infrastructure and workflows that enable automated intrusion detection, real-time decisioning, and intelligent response systems across cameras, sensors, and audio streams.Your systems directly protect schools, hospitals, and businesses. As a Senior Backend Engineer, you will own the architecture behind large-scale, low-latency systems that ingest, process, and act on multimodal data across Verkada’s cloud backend and global fleet of cameras and sensors. These systems power automated threat detection, video and audio analysis, alerting, and downstream actions such as verification and dispatch. Unlike pure cloud AI companies, the edge is a core part of the system here. Your services coordinate directly with devices in the field, not just cloud pipelines after ingestion. You will work in a fast-moving environment, turning ideas into production-ready systems that operate reliably at scale. What You'll Do • Design and build distributed backend systems that power AI-driven detection, monitoring, and response workflows • Develop scalable pipelines for ingesting and processing large volumes of video, audio, and sensor data in real time • Architect event-driven systems that trigger automated actions such as alerts, verification, and escalation • Build infrastructure that enables integration and deployment of large video and audio models into production systems • Rapidly prototype and iterate on new AI-powered capabilities, moving from concept to deployed features • Optimize systems for low latency, high availability, and reliability across cloud and edge environments • Collaborate cross-functionally to define and deliver end-to-end intelligent safety and automation systems • Establish best practices for observability, testing, and continuous deployment in AI-integrated backend services What You Will Bring • 5+ years of backend engineering experience building and operating production systems at scale • Strong experience designing distributed systems, event-driven architectures, and scalable APIs • Proven track record of building large-scale, data-intensive or AI-powered systems • Experience working with real-time data pipelines and high-throughput systems • Familiarity with deploying or integrating machine learning models, especially in video, audio, or multimodal domains • Strong programming skills (e.g., Go, Python) and experience with modern cloud infrastructure • Experience with databases and streaming systems (e.g., Kafka, Temporal, Postgres) • Ability

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