Staff Backend Engineer, Agentic AI

Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and...

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions ...

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If tha...

As a Staff 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.
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.

8+ 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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