Description
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.
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
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy
Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!
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.
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 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.
