Senior Backend Engineer - Virtual Guard

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. A leader in cloud physical security, Verkada helps organizations strengthen safety and efficiency through one connected software platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. Over 30,000 organizations worldwide, including more than 100+ companies in the Fortune 500, trust Verkada as their physical security layer for easier management, intelligent control, and scalable deployments. Founded in 2016, Verkada has expanded rapidly with 15 offices and 2,200+ full-time employees. 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 to quickly prototype, experiment, and iterate in ambiguous problem spaces Strong ownership mindset with experience delivering reliable, production-grade systems end-to-end Culture and Values Self-motivated problem solver: At Verkada, you will tackle large, complex problems with no clear answers. Teach and learn: You will learn new technologies while being entrusted with the technical ownership of major systems, and we hope to learn something from you in turn. Growth mindset: As a small, fast-growing startup, every day brings new challenges and opportunities for growth, and we want you to grow with us! US Employee Benefits Verkada is committed to fostering ... (truncated, view full listing at source)