Backend Developer - RTR Platform

Gurgaon | Full-Time

Role Overview :

We are looking for a Backend Developer with strong full stack, NodeJS expertise to build and scale the RTR platform. You will work on high-volume financial transaction processing, real-time reconciliation engines, and regulatory reporting pipelines - with a strong emphasis on reliability, data correctness, and AI integration.

Key Responsibilities :

- Design and develop scalable microservices for the RTR platform using node js.

- Build real-time reconciliation engines that match transaction data across AMCs, RTAs (CAMS/KFintech), exchanges, and internal systems.

- Develop regulatory reporting modules : SEBI reports, AMFI NAV uploads, tax computation (LTCG/STCG), and client statement generation.

- Integrate with BSE StarMF, NSE NMF-II, CAMS, KFintech, CKYC, Account Aggregator, UPI, NACH, and NPCI.

- Implement idempotent, fault-tolerant transaction processing with at-least-once/exactly-once delivery guarantees.

- Build observability into every service : structured logging (ELK), distributed tracing, and alerting dashboards (Grafana/Prometheus).

- Write comprehensive unit and integration tests; maintain high coverage on financial computation modules.

- Collaborate with architects on database design (Oracle/PostgreSQL) and API contracts.

Required Qualifications :

- 3 - 6 years of backend development experience with strong NodeJS proficiency.

- Hands-on experience with event-driven architecture, and distributed systems patterns.

- Strong SQL skills (Oracle / PostgreSQL /MySQL); ability to write and optimise complex financial queries.

- Experience with REST API design, OAuth 2.0 / JWT, and API security.

- Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins / GitHub Actions).

- Understanding of financial transaction concepts: NAV, SIP, STP, SWP, redemption, switch, and corporate actions.

- B.Tech / B.E. in Computer Science or equivalent.

Good to Have :

- Prior experience in a wealth management, mutual fund, or NBFC technology team.

- Familiarity with SEBI, AMFI, or RBI regulatory reporting requirements.

- Knowledge of Account Aggregator (AA) framework and FIP/FIU integration.

- Experience with AI coding assistants (Copilot, Cursor, Claude) and LLM API integration.

AI Expectations :

- Use AI coding assistants as part of your daily development workflow for writing, reviewing, and debugging code.

- Contribute to AI-powered reconciliation features: anomaly detection, pattern-based exception flagging, and intelligent discrepancy resolution.

- Identify where AI/ML can reduce manual exception handling in the RTR pipeline.