Software Engineer - Data Platform

About 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.

Overview

As a member of our Data Platform team, you will build the data infrastructure, products, and services that enable teams across the company to make data-driven decisions and ultimately deliver high-quality products to our users.

We believe in tools over processes, automation over operations, metrics over anecdotes, iteration over perfection, and proactive over reactive. You will have the opportunity to own impactful projects end-to-end and solve challenging data and infrastructure problems at scale.

Responsibilities:

- Build and evolve analytical infrastructure that enables teams to easily collect, transform, analyze, and understand data.

- Build real-time data infrastructure to support streaming data processing and provide real-time visibility into critical business and system metrics.

- Work cross-functionally to build data products used across the company, including by Engineering, Finance, Accounting, and other teams.

- Design and implement solutions that ensure data quality, reliability, security, and compliance.

- Make informed technical decisions and take end-to-end ownership of the services and applications you build.

Requirements:

- 1-3 years of software engineering experience.

- Ability to thrive in a fast-paced environment and adapt to evolving priorities.

- Passion for product quality and building reliable systems that enable teams to move quickly.

- Strong interest in cross-functional collaboration and solving problems beyond traditional team boundaries.

- Proficiency in Python and Go.

Nice to have:

- Experience with distributed data systems and technologies such as Spark, Presto/Trino, Hive, or similar technologies.

- Strong interest in cross-functional collaboration and solving problems beyond traditional team boundaries.