Software Engineer - Fleet Management

<div class="content-intro"><h3><strong>Who We Are</strong></h3> <p>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.&nbsp;</p> <p>We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), <a href="https://www.cnbc.com/2025/12/03/verkada-capitalg-valuation-security.html">a $5.8B valuation</a>, 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.</p> <p>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.&nbsp;</p></div><p><strong>About the Role</strong></p> <p>We're looking for a backend software engineer with strong data analysis skills to join our camera fleet management team. You'll build the data infrastructure and analytical tools that power our safe release operations across a million+ camera devices. This role combines traditional backend engineering with data pipeline development, log analysis, and metrics-driven insights.</p> <p>Camera firmware releases include critical updates like new AI models, and understanding their impact requires sophisticated data analysis at scale. You'll develop the pipelines, dashboards, and analytical tools that help us detect anomalies, measure release health, and ensure every deployment is successful. Your work will directly support data-driven decision making for releases that impact our customers and our reputation.</p> <p>Every release decision we make affects hundreds of thousands of cameras in the field. The data pipelines you build and the insights you surface directly determine whether we can release confidently or need to halt a problematic rollout. You'll be the engineering force behind our data-driven release culture.</p> <p>You'll work closely with the Systems Software Engineer leading the team to build robust data infrastructure—from ingestion pipelines processing high-volume logs to SQL queries surfacing critical insights to real-time monitoring dashboards.</p> <p><strong>What You'll Do</strong></p&g