Principal Software Engineer

Key Objectives

• Architect the domain model, context graph, workflow state, actions, and decision history
• Define how institutional memory is represented, versioned, queried, and evolved
• Build systems that are expressive enough for AI-driven workflows while remaining governed, testable, and auditable
• Ensure the platform scales from approximately 90 customers today to 200+ without degrading reliability
• Reduce hero-dependence by building abstractions that prevent constant escalations

What You’ll Own

Long-Term Data Architecture Strategy

• Define the canonical data model for workflows, context, actions, and outcomes
• Design durable abstractions across automation, decision tracing, and system memory
• Establish clear system boundaries across feature-based teams

Context Graph & Institutional Memory

• Architect a graph-backed representation of state, history, and reasoning
• Enable traceability of decisions across complex healthcare workflows
• Ensure schema evolution supports regulatory scrutiny and auditability

Workflow State & High-Volume Systems

• Design state management systems across AWS, Postgres, Python, and Temporal workflows
• Drive performance, reliability, and scalability across high-throughput workflows
• Own normalization tradeoffs, indexing strategy, and access pattern design

Engineering Standards & Guardrails

• Establish standards for schema versioning, lineage, testing, and data integrity
• Build systems that reduce incident frequency and escalation dependency
• Partner with tech leads across feature teams to enforce architectural coherence

Must Have

• 12+ years owning data architecture in large-scale production systems
• Deep relational database and distributed systems expertise
• Strong experience evolving schemas in complex, regulated domains
• Clear judgment on normalization vs. denormalization, performance tradeoffs, and system boundaries
• Experience handling mission-critical incidents in production
• Comfort operating in ambiguous, fuzzy problem spaces
• Hands-on coding ability in a Python-heavy backend environment
• Strong reliability instincts, including observability, testing, and QA rigor

Nice to Have

• Experience in healthcare, fintech, or infrastructure environments
• Exposure to or experience with modern, scaled, high-throughput infrastructure environments such as Stripe, Brex, or Notion
• Practical understanding of applied AI systems (not pure ML research)
• Comfort in customer-facing technical discussions

Perks

• Comprehensive Benefits Package: unlimited PTO, fully covered health insurance (medical, dental, and vision), meal stipend, health & wellness stipend, 401(k) matching, and stock options