We are seeking motivated and proactive Software Engineers with expertise in Java, Kafka / real-time messaging, Apache Flink, and MQ technologies to design, develop, and maintain a foundational data hub. This framework will enable seamless, event-driven communication and data streaming to support near real-time risk reporting, analytics and business reporting.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Strong Java development experience with expertise in real-time messaging and Kafka.
• Experience integrating Kafka with trading systems and managing high-volume, low-latency data streams.
• Proficiency in Apache Flink for stream processing and real-time data analytics.
• Familiarity with event-driven architecture, distributed systems, and fault tolerance principles.
• Proficiency with Apache messaging technologies (e.g., Apache ActiveMQ or Apache Kafka) and MQ systems (e.g., IBM MQ, Tibco EMS).
• Experience with Docker, Kubernetes, and microservices architecture is a plus.
• Strong understanding of message queuing, reliability, and fault-tolerant systems

Role Includes:

• Technical Design, analysis, and support of the foundational data hub across various systems
• Development and customization of integration tools and solutions, using Kafka, Flink, MQ Series, or other event-driven message transmission systems.
• Use of integration products to customize or generate solutions that facilitate seamless communication between systems, ensuring high reliability and performance.

Responsibilities:

• Develop and deploy real-time messaging applications using Kafka.
• Design / Implement Kafka producers/consumers for high-throughput, low-latency data processing in a trading environment.
• Integrate Kafka with various trading platforms and financial systems.
• Troubleshoot Kafka-related issues and optimize performance for high-frequency trading scenarios.
• Leverage Apache Flink for real-time stream processing, including event-driven data transformations and aggregation.
• Collaborate with DevOps and SecOps for Kafka and Flink cluster deployment, monitoring, and maintenance.
• Stay updated on best practices for real-time messaging, Kafka, Apache, Flink, and MQ technologies.
• Design, develop, and integrate Apache messaging frameworks to ensure high-performance and reliable messaging in critical systems.
• Work with MQ systems for message queuing, ensuring that data is reliably processed and communicated between distributed systems in real-time.
• Assist in the migration and integration of Apache Kafka, Flink, MQ, and other messaging solutions as needed.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Strong Java development experience with expertise in real-time messaging and Kafka.
• Experience integrating Kafka with trading systems and managing high-volume, low-latency data streams.
• Proficiency in Apache Flink for stream processing and real-time data analytics.
• Familiarity with event-driven architecture, distributed systems, and fault tolerance principles.
• Proficiency with Apache messaging technologies (e.g., Apache ActiveMQ or Apache Kafka) and MQ systems (e.g., IBM MQ, Tibco EMS).
• Experience with Docker, Kubernetes, and microservices architecture is a plus.
• Strong understanding of message queuing, reliability, and fault-tolerant systems.

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