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:

• 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.