Senior Software Engineer, Data Platform

What You’ll Do

• Own the design and evolution of the core data model — domain entities, actions, and the audit trail that governs every automated decision.
• Build the data layer that AI agents read from and write to: expressive enough that models can reason over operational context, governed enough for healthcare compliance.
• Define how domain knowledge gets structured, versioned, and queried, laying the groundwork for richer context as the platform matures.
• Establish data contracts and APIs that give feature teams clean, stable interfaces to build against.
• Drive platform reliability as we double our customer base and traffic without losing performance.
• Set technical direction for the data platform in partnership with product and feature team leads.

Requirements

• 7+ years in professional software engineering, building backend or data infrastructure in production.
• Deep expertise in relational databases: schema design, query performance, and data modeling tradeoffs.
• Experience designing and evolving data models in complex, growing systems.
• Experience operating production systems at scale, including incident response and reliability work.
• Ability to code hands-on in backend systems (Python-heavy environment, but language-agnostic).
• Strong reliability instincts: observability, testing, and data integrity.
• Ability to make good decisions with incomplete information — designing data models while the domain is still being codified and product requirements evolve alongside AI capabilities.

Nice-to-Haves

• Experience in healthcare, fintech, or other compliance-heavy infrastructure environments.
• Background at high-throughput infrastructure companies like Stripe, Brex, or Notion.
• Practical understanding of applied AI systems.
• Comfort in customer-facing technical discussions.