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
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.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
