Director, Full-Stack Engineer

- Take primary ownership of one area of the platform while contributing across the stack- backend services (Java/Python), frontend tooling (React), AI orchestration, smart contracts, or policy logic

- Design, build, and own components end-to-end from technical discovery through production deployment

- Architect event-driven systems using Kafka, containerized deployments, and resilient distributed-systems patterns

- Lead technical discovery and rapid prototyping to validate new capabilities before committing to production builds

- Establish coding standards, architectural patterns, and engineering best practices that keep the codebase maintainable as the team scales

- Mentor engineers, lead code reviews, and create a culture of technical rigor

- Collaborate with product, operations, and compliance teams to translate business requirements into working systems

- Communicate technical strategy and trade-offs to senior leadership in clear, actionable terms

- 10+ years of software engineering experience, with a strong track record of shipping production systems.

- Deep proficiency in at least one layer of stack -backend services, frontend UIs, AI/ML systems, blockchain, or data infrastructure with the ability to work across others

- Strong fundamentals in distributed systems, event-driven architecture, and API design

- Experience with some combination of: Java, Python, React, Kafka, Oracle, Snowflake, Docker/Kubernetes

- Fluency with AI-assisted software development, including using coding agents such as Codex and Claude to move quickly without compromising quality

- Experience with LLMs, prompt engineering, RAG architectures, or AI/ML integration is a strong plus

- Familiarity with blockchain, smart contracts, or on-chain transaction systems is a strong plus

- Financial services or capital markets experience is a plus - you don't need to be a loan expert, but you should be comfortable learning the domain quickly

- You default to building and shipping over theorizing -prototypes, working code, and measurable results matter more than slide decks

This isn't a typical enterprise engineering job. You'll work at the intersection of AI, programmable policy, and financial infrastructure- building systems that digitize complex legal documents, automate loan servicing operations, and drive real money movement. The problems are hard, the domain is complex, and the impact is direct.