About the job
Who We Are
Verkada is revolutionizing the way organizations safeguard their personnel and properties through an integrated, AI-driven platform. As a frontrunner in cloud-based physical security solutions, Verkada empowers organizations to enhance safety and operational efficiency via a unified software platform that encompasses video security, access control, air quality monitoring, alarms, intercom systems, and visitor management.
Over 30,000 organizations globally, including over 100 Fortune 500 companies, rely on Verkada for a seamless physical security solution that simplifies management, provides intelligent control, and supports scalable deployments. Established in 2016, Verkada has experienced rapid growth, boasting 15 locations and over 2,200 dedicated employees.
About the Role
As a vital member of our Infrastructure team, you will be responsible for constructing data infrastructure, pipelines, and services that enable teams to harness data for informed decision-making and deliver high-quality features to users. We prioritize tools over rigid processes, automation over manual operations, metrics over subjective observations, iterative improvement over perfection, and proactive measures over reactive responses.
This position requires an in-office presence at our headquarters in San Mateo, CA, as we are dedicated to fostering a vibrant in-office culture.
What You'll Do
- Design and develop robust, scalable, and efficient data infrastructure that empowers the team to derive insights and make informed, data-driven decisions.
- Collaborate across departments to create data products that provide insights and enhance both Verkada's offerings and customer experiences.
- Design and implement solutions that guarantee data quality, security, and compliance.
- Lead projects from conception through to implementation.
- Mentor and nurture junior engineers.
What You Bring
- 5+ years of experience in data engineering or related fields.
- A flexible and adaptable mindset suited for a dynamic startup environment.
- A strong commitment to product quality and the development of systems that facilitate the delivery of high-quality releases.
- Extensive knowledge in distributed systems and data processing.
- Experience with data infrastructure and analytics.
- Familiarity with Kubernetes is preferred.
- Experience in data visualization and dashboard design is a plus.

