Principal Software Architect (San Francisco, CA or Seattle, WA)

Proven track record building and scaling multi-tenant SaaS applications on major cloud platforms (AWS, GCP, or Azure). Deep understanding of agentic systems, LLM integration patterns, and AI-native design principles. Practical experience designing and using graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) in production environments. Hands-on experience with headless frontend architectures, including GraphQL, BFF patterns, and composable UI. Familiarity with legacy system integration, monolith decomposition, and pragmatic trade-offs. Experience building with AI development tools (e.g., Github Copilot, Cursor). Pragmatic problem solver who knows when to take risks and when to invest deeply. Background in API lifecycle management. Familiarity with compensation, HR tech, or other highly regulated domains. Track record of designing secure, privacy-preserving architectures that handle sensitive/PII data. Comfort building cross-functional alignment.

Architect the convergence of disparate systems into a unified, composable, AI-native platform. Guide technical integration of modern agentic patterns with existing systems. Lead design and application of graph-based data models and graph databases. Serve as a bridge between present-day constraints and future-state goals. Work with Product leadership to anticipate roadmap needs and ensure platform scalability. Lead cross-functional technical design reviews. Help shape a headless architecture that powers flexible user experiences. Provide hands-on technical leadership and mentorship. Model and promote a crawl-walk-run approach. Act as a technical steward and mentor. Translate complex technical concepts into clear narratives. Partner with security, data, and AI teams. Define logging, observability, and auditability frameworks.