Principal Software Engineer, Endpoint Platform

Medium; Vancouver (WA); On-site; USD 240,000 - 250,000; Full time

Job summary

Saviynt, a leading identity security platform, is building its AI Security team and seeks a founding member to design AI security for world‑leading enterprises. You will lead architecture for native endpoint agents across Windows, macOS, Linux and mentor engineers.

The role blends systems software engineering with AI‑assisted development, emphasizing PEDM policy enforcement, secure endpoint communication, and telemetry. Salary range $240k–$250k plus discretionary bonus.

Qualifications

• 1+ years of principal-level systems software engineering experience.
• Strong programming experience in C++, Rust, or Go.
• Deep knowledge of Windows, macOS, or Linux internals.
• Experience with endpoint security products (EDR/XDR/DLP) and PAM/PEDM.
• Experience with OS security, process management, filesystem monitoring, ETW or eBPF.
• Strong debugging and performance tuning skills.
• Hands-on experience using AI-assisted development tools (Copilot, Claude Code, Windsurf, ChatGPT).
• Understanding of AI agents, LLMs, MCP, and modern AI architectures.
• Familiarity with AI SDLC best practices, CI/CD, observability, and secure coding.
• Strong leadership, design, and mentoring skills.

Responsibilities

• Build native endpoint agents for Windows, macOS, and Linux.
• Develop the integrated privileged access client within the endpoint agent.
• Implement PEDM policy enforcement.
• Build secure communication between Endpoint Agents and Edge Backends.
• Develop local telemetry collection for applications, processes, services, users, and endpoint posture.
• Detect Shadow IT and unauthorized AI/automation agents on endpoints.
• Discover local resource access including filesystem, browser data, credentials, databases, network shares, APIs.
• Optimize agent performance, scalability, and resource utilization.
• Lead architecture and mentor engineers building endpoint platform capabilities.
• Leverage AI-assisted software development across the SDLC.
• Develop capabilities to discover and govern AI agents and workloads.
• Develop secure endpoint capabilities for AI-native environments.
• Apply AI SDLC best practices across development, testing, deployment, operations.

Skills

C++

Rust

Go

Windows internals

macOS internals

Linux internals

EDR/XDR

PAM/PEDM

AI tools

Leadership

Tools

GitHub Copilot

Claude Code

Windsurf

Cursor

ChatGPT

Job description

Saviynt is a leading identity security platform that safeguards digital assets for Fortune 500 companies and government institutions. We are building our AI Security team and are looking for a founding member to help design AI security for world‑leading enterprises.

What You Will Be Doing

• 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.

What You Bring

• 1+ years of Principal‑level 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 security, process management, filesystem monitoring, ETW, eBPF, or similar platform technologies.
• Strong debugging, performance tuning, and systems engineering skills.
• Hands‑on experience using AI‑assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
• Understanding of AI agents, LLMs, MCP, and modern AI application architectures.
• Familiarity with AI SDLC best practices, including AI‑assisted development, automated testing, secure coding, CI/CD automation, observability, and responsible use of AI‑generated code.
• Strong leadership, design, and mentoring skills.

Salary Range: $240,000–$250,000 per year.

We also offer a discretionary bonus plan and a competitive total rewards package.

Required Training and Compliance

• Complete security & privacy literacy and awareness training during onboarding and annually thereafter.
• Review and adhere to Saviynt Information Security and Privacy Policies and Procedures, including:
• Data Classification, Retention & Handling Policy
• Incident Response Policy/Procedures
• Business Continuity/Disaster Recovery Policy/Procedures
• Mobile Device Policy
• Account Management Policy
• Access Control Policy
• Personnel Security Policy
• Privacy Policy

Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.