Software Engineer
US$240,000 – US$250,000 / yr base salary
Posted 29 Jun 2026
Advertised as “Principal Software Engineer, Endpoint Platform”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 1+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$240,000 – US$250,000 / yr |
|---|
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.
Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.
WHAT YOU WILL BE DOING
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Build native endpoint agents for Windows, macOS, and Linux.
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Develop the integrated privileged access client within the endpoint agent.
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Implement Privileged Endpoint Device Management (PEDM) policy enforcement.
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Build secure communication between Endpoint Agents and Edge Backends with resilient fail-closed behavior.
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Develop local telemetry collection covering applications, processes, services, users, and endpoint posture.
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Detect Shadow IT, unauthorized applications, AI agents, automation agents, MCP servers, and developer tooling running on endpoints.
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Discover local resource access, including filesystem, browser data, credentials, local databases, network shares, and APIs.
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Optimize agent performance, scalability, reliability, and resource utilization.
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Lead architecture and mentor engineers building endpoint platform capabilities.
AI & Agentic Engineering
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Leverage AI-assisted software development throughout the SDLC.
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Build capabilities to discover, inventory, and govern AI agents and agentic workloads executing on enterprise endpoints.
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Develop secure endpoint capabilities supporting AI-native enterprise environments.
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Apply AI SDLC best practices across development, testing, deployment, and operations.
WHAT YOU BRING
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1+ years of Principal-level of systems software engineering experience.
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Strong C++, Rust, or Go programming experience.