Senior Java Backend Lead — Low-Latency eTrading Platform

Citi

New York (NY)

Hybrid

USD 121,000 - 171,000

Full time

14 days+

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Job summary

The Citi Fixed Income eTrading team is hiring a Java backend lead to own post-trade data feeds and STP processing. You will design and maintain high-performance services that capture, validate, and enrich trade data across systems, ensuring low latency and data integrity in a global market.

This hybrid role, based in Mississauga, Ontario, requires 5+ years in Java, Spring, and real-time microservices, plus experience with Kafka, MongoDB and Oracle.

Qualifications

  • 5+ years of Java development experience with Spring (or DI frameworks)
  • 5+ years building real-time, low-latency microservices
  • 5+ years with Java 8+, MongoDB, Oracle DB, OpenShift, Linux and Solace
  • 3+ years with real-time messaging middleware (Kafka/RabbitMQ/Solace/Tibco)
  • Experience with multi-threaded applications
  • Strong fundamentals: data structures, OOP, design patterns, algorithms
  • Deployment and debugging on UNIX/Linux
  • Understanding of capital markets and financial derivatives
  • Performance tuning and low-latency Java programming
  • Experience with RDBMS (Oracle) and NoSQL (MongoDB)
  • In-memory caches (Redis, Ignite, GemFire)
  • CI/CD pipelines
  • Test-driven development (unit and E2E tests)

Skills

Java
Microservices
OOP & Design Patterns
Unix/Linux deployment

Education

Bachelor Degree in Computer Science, Computer Engineering, Information Systems or equivalent.

Tools

Java 8+
MongoDB
Oracle DB
OpenShift
Linux
Solace
Kafka
RabbitMQ

Job description

The Citi Fixed Income eTrading team is hiring a Java backend lead to own post-trade data feeds and STP processing. You will design and maintain high-performance services that capture, validate, and enrich trade data across systems, ensuring low latency and data integrity in a global market.

This hybrid role, based in Mississauga, Ontario, requires 5+ years in Java, Spring, and real-time microservices, plus experience with Kafka, MongoDB and Oracle.

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