Senior Backend Engineer - Virtual Guard
Verkada · Alarms
签证判断 Visa sponsorship
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We do sponsor and take over sponsorship of employment visas for this role.
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职位描述 Job description
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 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 a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:
Healthcare programs that can be tailored to meet the personal health and financial well-being needs - 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
Time off to relax and recharge through our 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
Additional Information
We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.
Annual Pay Range
At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experie
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