About the Role :

This is a high-impact backend engineering role focused on building and scaling distributed AI systems powering real-time financial intelligence at scale.

You will work on systems that directly influence :

- Real-time AI-driven credit decisions

- Communication with banks, lenders, and credit bureaus

- Large-scale low-latency AI infrastructure handling critical user workflows

- Your work will directly impact system reliability, scalability, latency, and customer experience.

Key Responsibilities :

- Maintain sub-200ms P95 latency for user-critical operations

- Build monitoring, observability, and automation systems

- Improve platform reliability, scalability, and resilience

- Design scalable infrastructure enabling faster feature delivery

- Contribute to architecture decisions for next-generation AI systems

What We're Looking For :

Tech Stack : Python 3+, FastAPI, Redis, PostgreSQL, AWS

- 2+ years of experience building and scaling distributed systems handling 5K+ concurrent requests

- Strong experience with microservices and monolith decomposition under production traffic

- Hands-on experience with container orchestration and service mesh technologies

- Strong understanding of database sharding, replication, and distributed transaction management

- Experience with CDN optimization and edge computing for multi-region deployments

- Proven ability to optimize systems achieving sub-100ms P99 latency for critical operations

Why Join US?

- Opportunity to build AI-native fintech products used by millions

- High ownership and direct business impact

- Exposure to cutting-edge AI infrastructure and distributed systems challenges

- Fast-paced startup environment with rapid career growth

- Opportunity to work closely with a highly driven engineering team