Zaddy Solutions is searching for a several different levels of Java based Software Developers for a large enterprise digital transformation initiative with a client of ours in the Capital Markets sector. These roles are long term contract / to hire. These roles are hybrid and can be located in CLT, NYC, or ATL.
Initiative : Foundational Data Hub Development
Join a dynamic team tasked with designing and implementing a cutting-edge foundational data hub to support near real-time risk reporting, analytics, and business reporting . This data hub will integrate CIB (Corporate and Investment Banking) systems of record and Reference Data, enabling Regulatory Trade Reporting and Risk Reporting across various business units, including :
- Derivatives (interest rates, credit, commodities)
- Foreign Exchange
- Equities
- Fixed Income
- Loans
- Investment Banking / Capital Markets
Role : Senior Developer and Development Lead
We are looking for motivated and skilled Software Engineers with expertise in Java Kafka Apache Flink , and MQ technologies to design, develop, and maintain a state-of-the-art data hub. This system will facilitate event-driven communication and real-time data streaming , ensuring high-performance and reliability for critical financial operations.
Key Responsibilities :
Design and Development :
Lead the technical design, analysis, and development of the foundational data hub across CIB Technology.Build and optimize real-time messaging applications using Kafka for high-throughput, low-latency data processing.Implement Kafka producers / consumers to handle data streams in a trading environment.Leverage Apache Flink for real-time stream processing , including event-driven data transformations and aggregations.Integrate Kafka with trading platforms and financial systems, ensuring seamless interoperability.System Integration :
Develop and integrate Apache messaging frameworks (e.g., ActiveMQ, Kafka) for reliable, high-performance messaging.Work with MQ systems (e.g., IBM MQ, Tibco EMS) to ensure reliable message queuing and real-time data flow between distributed systems.Performance and Maintenance :
Troubleshoot and optimize Kafka and related messaging technologies for high-frequency trading scenariosCollaborate with DevOps and SecOps teams for deployment, monitoring, and maintenance of Kafka and Flink clusters.Continuous Improvement :
Stay up to date with best practices and emerging trends in real-time messaging, stream processing, and fault-tolerant systems.Assist in the migration and enhancement of messaging solutions, ensuring scalability and reliability.Qualifications : Education :
Bachelor’s degree in Computer Science, Software Engineering, or a related field.Technical Expertise :
Proficiency in Java with a strong focus on real-time messaging and Kafka.Hands-on experience with Kafka integration for high-volume, low-latency environments.Advanced knowledge of Apache Flink for real-time stream processing and analytics.Familiarity with event-driven architecture , distributed systems, and fault-tolerance principles.Experience with Apache messaging tools (e.g., ActiveMQ, Kafka) and MQ systems (e.g., IBM MQ, Tibco EMS).Additional Skills (Preferred) :
Experience with Docker Kubernetes , and microservices architecture.Strong understanding of message queuing systems and fault-tolerant design.
