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Saviynt

Cloud identity security and access governance

Principal Software Engineer - Endpoint Platform

Systems Software EngineeringConfirmed live in the last 24 hours
Full-time$240k - $250k /yr

About the Job

Requirements

  • At least 1 year 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, including endpoint detection and response, extended detection and response, data loss prevention, endpoint management, and privileged access management or privileged endpoint device management.
  • Experience with operating system security, process management, filesystem monitoring, Event Tracing for Windows, extended Berkeley Packet Filter, 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, or ChatGPT.
  • Understanding of AI agents, large language models, Model Context Protocol, and modern AI application architectures.
  • Familiarity with AI software development lifecycle best practices, including AI-assisted development, automated testing, secure coding, continuous integration and delivery automation, observability, and responsible use of AI-generated code.
  • Strong leadership, design, and mentoring skills.
  • Adhere to Saviynt’s information security and privacy policies and procedures, including annual security training.

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 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, Model Context Protocol 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.
  • Leverage AI-assisted software development throughout the software development lifecycle.
  • 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 software development lifecycle best practices across development, testing, deployment, and operations.

About the Company

Saviynt

Cloud identity security and access governance

Saviynt provides a cloud-based identity security and access governance platform that helps organizations manage digital identities for employees, vendors, and machines. It offers identity governance and administration, third-party access governance, and cloud privileged access management, using automated workflows and identity analytics to reduce risks and maintain audit readiness. The product helps enterprises implement governance from the start, minimize separation-of-duty risks across apps, and stay compliant while lowering costs through a subscription model and scalable deployment across diverse industries.

Company size
1,001-5,000
Company stage
Series B
Total funding
$1.1B
Headquarters
El Segundo, CA
Founded
2010

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