About the role
As we move toward being an AI-first company and deeply integrate foundational models, we're building an AI-native interface to lending that delivers personalized recommendations and timely insights for customers, while improving risk management, scalability, security, and accuracy for the business, helping reduce credit and fraud losses and enabling more tailored collections strategies. This includes:
Responsibilities:
- Architect and scale an India wide AI native lending platform disbursing billions of dollars every year.
- Drive modernization through multi-tenant architecture and onboarding simplification.
- Improve automation to 99.5%, SLA to 99.99%, and payment accuracy.
- Innovate with GenAI-driven tools to reduce manual dependency across the entire loan management pipeline, starting from AI-driven bots on the website all the way to AI-driven reconciliation for finances worth billions of dollars.
- Own technical vision for highly scaled backend services, full-stack applications, and agentic tools.
- Partner with multiple CXO-level organizations to deliver cross-functional initiatives.
- Mentor and guide 120+ engineers, raising the bar for operational excellence.
- Ensure platform scalability during peak events and manage tech debt strategically.
Leadership Scope:
- Technical Vision: Own architectural decisions for highly scaled distributed systems and full-stack applications.
- Cross-Org Influence: Partner with multiple CXO-level organizations.
- Mentorship: Act as the most senior engineer for 100+ SDEs, shaping careers and raising engineering standards.
- Operational Bar: Maintain world-class reliability and scalability during peak events.
Requirements:
- Bachelor's or Master's degree in computer science or a related field.
- Strong architectural and leadership experience in large-scale systems.
- 15+ years in software engineering with at least 5 years in technical leadership roles.
- Proven experience in designing distribution systems and leading cross-functional projects.
- Exposure to ML/AI-driven solutions and the finance domain is a plus.
Required Skills:
- Backend: Distributed systems, microservices, event-driven architecture, data streaming.
- Cloud: AWS services, security, compliance.
- Data: Modeling, NoSQL/NewSQL, ML integration.
- Frontend: Full-stack development for customer experience.
- Finance Domain: Payments, invoicing, tax compliance.
- Preferred Edge: ML experience, cybersecurity, E2E testing, and familiarity with financial systems.