Principal Software Engineer, Endpoint Platform
Role details
Job location
Tech stack
Job 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
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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., 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:
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Complete security & privacy literacy and awareness training during onboarding and annually thereafter
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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
Requirements
- 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.
Benefits & conditions
$240,000 - $250,000 a year We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $240,000 - $250,000 annually.