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:

• 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.