Position: Technical Lead – RTR Platform
Location: Gurgaon
Employment Type: Full-Time
Experience: 7–12 Years
Tech Lead Experience: 2+ Years
Role Overview
We are looking for a Technical Lead to own the architecture and engineering delivery of the RTR (Reconciliation, Transaction Processing & Regulatory Reporting) platform for the wealth management business. The role will lead backend/integration engineering, drive scalable architecture, and embed AI capabilities into core financial workflows.
Key Responsibilities
Lead architecture and technical delivery for reconciliation engines, transaction pipelines, regulatory reporting and RTA/exchange integrations.
Own HLD/LLD, API contracts, data models and integration specifications.
Lead and mentor a team of 4–8 backend engineers.
Drive scalability, fault tolerance, idempotency and data correctness for high-volume financial transactions.
Establish engineering standards around code quality, testing, CI/CD and deployment governance.
Own production reliability, incident management, RCA and preventive controls.
Implement AI-based exception handling, anomaly detection and regulatory report validation.
Work closely with Product, Compliance and Operations teams.
Manage integrations with BSE StarMF, NSE NMF-II, CAMS, KFintech, CKYC, Account Aggregator and NPCI.
Drive modernization of legacy batch processes into event-driven microservices using Kafka.
Mandatory Skills
Node.js / NodeJS
Microservices & Serverless Architecture
Oracle / PostgreSQL / MySQL
Distributed Systems
High-throughput API Development
Financial Systems / Transaction Processing
Architecture & Technical Design
Agile/Scrum
Team Leadership & Mentoring
Kafka / Event-driven Architecture
CI/CD & Production Reliability
Domain Experience
Candidates should have exposure to the Indian wealth management technology ecosystem, including MF transaction platforms, RTA systems, exchange connectivity and regulatory reporting.
Good to Have
SEBI / AMFI compliance experience
Account Aggregator, V-CIP and CKYC integrations
AI/ML in financial platforms
Anomaly Detection / NLP / AI-assisted Reconciliation
Experience with AMC, RTA, Wealth-Tech or NBFC technology teams.
AI Expectations
Hands-on adoption of Copilot, Cursor and Claude for AI-assisted development.
Build AI-augmented features for exception handling and anomaly detection.
Define measurable AI outcomes to reduce manual intervention in reconciliation workflows.
Education
B.Tech / B.E. – Computer Science from a reputed institution.
Ideal Candidate: A strong Backend/Technical Lead with Node.js, Microservices, Kafka, Database, API and Architecture expertise, preferably from FinTech / WealthTech / AMC / RTA / NBFC with exposure to AI-driven financial platforms.