Senior Java Software Engineer

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 scenarios . Collaborate 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: Bachelors 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.