Key skills
Backend engineeringDistributed systemsEvent-driven architecturesScalable APIsData-intensive systemsAI-powered systemsReal-time data pipelinesHigh-throughput systemsMachine learning model deploymentVideo domainAudio domainMultimodal dataGo programmingPython programmingCloud infrastructureDatabasesStreaming systemsKafkaTemporalPostgresOwnership mindsetPythonGoAIMachine Learning
About this role
Verkada is transforming how organizations protect their people and places with an integrated, AI-powered platform. As a Senior Backend Engineer, you will build and scale backend systems for AI-driven physical security products, focusing on real-time data processing and automated threat detection.
Responsibilities:
- 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
Requirements:
- 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