> Markdown version of [/jobs/ext/1207442-principal-software-engineer-endpoint-platform](https://www.wearedevelopers.com/jobs/ext/1207442-principal-software-engineer-endpoint-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Principal Software Engineer, Endpoint Platform

- **Company:** Saviynt Inc.
- **Location:** Milpitas, CA, United States
- **Experience:** Experienced
- **Salary:** $240,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Apple Mac Systems, Computing Platforms, Systems Engineering, Automation of Tests, C++ (Programming Language), Cyber Security, Computer Networks, Databases, Continuous Integration, Cursor (Graphical User Interface Elements), Software Debugging, Linux, Programming Tools, Disaster Recovery, File Systems, Linux Kernel, Performance Tuning, Systems Development Life Cycle, Secure Coding, Software Engineering, Data Classification, GitHub Copilot, Large Language Models, Operating System Security, GPT
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2233c815e44ac39f

## About the Role

* 2+ 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 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.

## Description

* 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., You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
If required for this role, you will:

 * Complete security & privacy literacy and awareness training during onboarding and annually thereafter
 * Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures


## Related Videos

- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Security Pitfalls for Software Engineers](https://www.wearedevelopers.com/videos/726-security-pitfalls-for-software-engineers)
- [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands)
- [Real-World Security for Busy Developers](https://www.wearedevelopers.com/videos/1545-real-world-security-for-busy-developers)

## Related Articles

- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 176: Expensive Agents, Taking Over VSCode and Safer Vibe Coding](https://www.wearedevelopers.com/magazine/603-dev-digest-176-expensive-agents-taking-over-vscode-and-safer-vibe-coding)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Events like RSAC Get You CISOs. Developers Decide What Actually Gets Deployed.](https://www.wearedevelopers.com/magazine/693-events-like-rsac-get-you-cisos-developers-decide-what-actually-gets-deployed)