$240K – $250K/yr
● Strong current hiring demand for this role
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Pay vs market · Near median
This job's pay ($245,000 a year at the midpoint) is higher than about 55% of 1,227 salary-listed Software Engineer jobs in United States in the last 12 months; their median is $232,500.
Role overview
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.
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.
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.
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Role market pulse
Live jobs
3,112
Posted 30d
2,191
30d movement
+372.2%
Remote share
24.9%
Salary listed
82.5%
Salary trend 1Y
Not enough history
What they are looking for
Qualification
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
Department · Engineering
Hiring company
Discover Zuma by Saviynt, the enterprise AI security platform that secures every identity and enables confident AI development through comprehensive governance and risk management solutions.
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