About the TeamThis team designs intelligent, autonomous systems that eliminate financial operations for companies globally. We automate everything from bookkeeping and reconciliation to tax, payroll, forecasting, and document understanding: turning hours of work into seconds. The team blends deep research pedigree with proven industry experience. We operate with high standards, are tool-agnostic, and expect engineers to own problems end-to-end. We collaborate closely, push boundaries responsibly, and ship exceptional work quickly. You'll solve unprecedented technical challenges using unique, end-to-end financial datasets no one else in the industry has.
About the RoleAs a Senior Backend Engineer, you'll design the backbone of our intelligent finance systems: scalable services, resilient APIs, and thoughtful data models. Our backend is primarily Python on GCP, and your work will ensure we can move quickly while maintaining enterprise-grade reliability and security.
What You'll Do- Design and operate distributed, event-driven systems that process high-volume, high-sensitivity financial data with strict correctness and latency guarantees.
- Build typed, production-grade APIs and services in Python (FastAPI + Pydantic) that power agentic workflows, AI copilots, and real-time financial infrastructure.
- Own data architecture end-to-end schema design, event models, ledger primitives, and storage layers optimized for auditability, traceability, and scale.
- Develop resilient infrastructure primitives (queues, retries, idempotency, observability, backpressure handling) that let teams ship fast without sacrificing reliability.
- Work at the intersection of systems + AI, building feedback loops where product data continuously improves models and models autonomously improve system behavior.
- Ship platform foundations, not one-off features internal frameworks, SDKs, and tooling that accelerate every engineer in the org.
- Partner closely with ML + product teams to productionize research-grade ideas into real customer-facing systems.
- Help define the architecture of an AI-native financial stack not bolting AI onto software, but designing software assuming AI is a first-class runtime.
This role is based in San Francisco.
What You'll Need to have- 5+ years backend experience with Python at scale.
- Deep knowledge of SQL/NoSQL database design.
- Experience with distributed systems, event-driven architectures, or microservices.
- Familiarity with GCP services (Pub/Sub, Cloud Run, Cloud SQL, BigQuery, KMS, etc.).
- Strong grasp of security and compliance best practices.
- Passion for building the backend that powers intelligent products.
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