Principal Software Engineer, Endpoint Platform
Saviynt
Listing collected from Saviynt's career site. NextChapter is independent of Saviynt.
Milpitas, CA · $240k–$250k a year · Posted June 29, 2026
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Where Milpitas, CA ranks
Where Milpitas, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #12Best cities for mid-career professionals in the West Coast60% · of 71
- #17Best cities for manufacturing and industrial pay after cost of living$132k · of 35
- #19Best cities for pay after cost of living in California$149k · of 32
- #20Best all-round cities for mid-career professionals in the West Coast46 / 100 · of 39
- #20Best all-round cities for AI careers in the West Coast44 / 100 · of 39
- #21Cities with the most jobs that need no experience in the West Coast0.8% · of 66
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $245,000 a year. Across 104 open principal software engineer listings that state pay, the middle half runs $210,500 to $320,000 and the median is $279,000. That is inside the middle half of those listings, 12% below the median.
Listed pay is what employers advertise, not what people are paid.
Principal Software Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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.
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.
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! Security & ComplianceThis role requires adherence to Saviynt’s information security and privacy policies and procedures, including annual security training.
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.