Primary record

Senior Software Engineer, Data Platform

Verkada Indexed employerSan Mateo, CA United States · San Mateo, California, United States
Source-hosted applyChecked 4h agoInternship
Apply at Verkada

Verkada receives this application through Greenhouse. Babu Careers does not claim delivery.

Workplace

On-site

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

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

As a member of our Infrastructure team, you will build data infrastructure, data pipeline and services to allow the teams to make data driven decisions, and ultimately put quality features into the hands of users. We emphasize tools over processes, automation over operation, metrics over anecdotes, iteration over perfection, and proactive over responsive.

We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA.

What You'll Do

• Design and implement reliable, scalable and efficient data inf

Requirements

Department: Infrastructure/Platform