Backend Platform Engineer

Description

We’re growing and looking to hire a Platform Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.

About Claroty:   

Claroty is on a mission to secure cyber-physical systems across industrial, healthcare, commercial and public sector environments: the Extended Internet of Things (XIoT). The Claroty Platform integrates with customers’ existing infrastructure to provide a full range of controls for visibility, exposure management, network protection, threat detection, and secure access. Our solutions are deployed by over 1,000 organizations at thousands of sites across all seven continents.

Claroty is headquartered in New York City, with employees across the Americas, Europe, Asia-Pacific, and Tel Aviv. The company is widely recognized as the industry leader in cyber-physical systems protection, with backing from the world’s largest investment firms and industrial automation vendors, as well as recognition from KLAS Research as Best in KLAS for Healthcare IoT Security, the Deloitte Technology Fast 500, the Forbes Cloud 100, and the Fortune Cyber 60. 

About the Role

Design, build, and optimize Claroty’s core platform infrastructure to power scalable, high-performance cyber-physical security products across diverse operational environments.

Requirements:

As a Platform Engineer, your impact will be:

• Engineering and evolving the underlying platform infrastructure that powers Claroty’s industry-leading cybersecurity products.
• Solving complex, large-scale problems in highly constrained environments.
• Collaborating in a high-impact team with a broad perspective across the entire company product line.
• Designing and building company-wide tools and capabilities from the ground up.
• Architecting, building, and maintaining our Linux-based OS packaging to ensure reliable deployment and system stability.
• Driving continuous delivery (CD) workflows and streamlining installation and update processes across diverse deployments.
• Designing, building, and automating scalable workflows utilizing AI tools and technologies to maximize operational efficiency.