Senior Backend Engineer - Virtual Guard
About The Position
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.
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
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
Benefits
- Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
- Nationwide medical, vision and dental coverage
- Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
- Expanded mental health support
- Paid parental leave policy & fertility benefits
- Paid holidays, firmwide extended holidays, flexible PTO and personal sick time
- Professional development stipend
- Fertility Stipend
- Wellness/fitness benefits
- Healthy lunches provided daily
- Commuter benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
501-1,000 employees
