Principal Software Engineer, Endpoint Platform

Job Overview

Join Saviynt's AI Security team as a founding member and help build AI security solutions for the world's leading enterprises.

Key Responsibilities

• Build native endpoint agents for Windows, macOS, and Linux.
• Develop the integrated privileged access client within the endpoint agent.
• Implement Privileged Endpoint Device Management (PEDM) policy enforcement.
• Build secure communication between Endpoint Agents and Edge Backends with resilient fail-closed behavior.
• Develop local telemetry collection covering applications, processes, services, users, and endpoint posture.
• Detect Shadow IT, unauthorized applications, AI agents, automation agents, MCP servers, and developer tooling running on endpoints.
• Discover local resource access, including filesystem, browser data, credentials, local databases, network shares, and APIs.
• Optimize agent performance, scalability, reliability, and resource utilization.
• Lead architecture and mentor engineers building endpoint platform capabilities.

AI & Agentic Engineering

• Leverage AI-assisted software development throughout the SDLC.
• Build capabilities to discover, inventory, and govern AI agents and agentic workloads executing on enterprise endpoints.
• Develop secure endpoint capabilities supporting AI-native enterprise environments.
• Apply AI SDLC best practices across development, testing, deployment, and operations.

Required Qualifications

• 1+ years of Principal-level of systems software engineering experience.
• Strong C++, Rust, or Go programming experience.
• Deep knowledge of Windows, macOS, or Linux internals.
• Experience with endpoint security products, including EDR, XDR, DLP, endpoint management, and PAM/PEDM.
• Experience with operating system