Senior Java Developer

This role is part of an initiative to build a real-time data pipeline for processing front-office markets chat data. The system will ingest unstructured messages from trading and sales desks, invoke NLP Engine APIs to extract intent and entities, and transform the results into structured objects. These outputs will power downstream use cases such as trade analytics, trade processing, pricing, risk management, and compliance monitoring. The solution leverages Java, Spring Boot, Elasticsearch, Oracle, Kafka, and caching frameworks to ensure scalability, low latency, and high reliability in mission-critical trading environments.

• Design, develop, and maintain high-performance Java applications for processing front-office chat data in real time.
• Implement config-driven, Spring-based components for data ingestion, transformation, and enrichment.
• Develop and optimize REST APIs for integration with NLP engines, internal systems, and external applications.
• Integrate and manage Apache Kafka for high-throughput, low-latency event streaming.
• Utilize Elasticsearch for efficient indexing and querying of large chat-derived datasets.
• Write optimized Oracle SQL/PLSQL for configuration management.
• Leverage continuous integration pipelines to streamline development and deployment.
• Use Generative AI development tools (e.g., Copilot, Gemini etc) to write, review, and optimize code efficiently.
• Collaborate with business analysts, product team and developers to ensure system reliability, scalability, and alignment with regulatory requirements.

• 6-10 years of professional experience in Java application development.
• Expertise in Spring Boot and microservices architecture.
• Strong experience with Elasticsearch (indexing, queries, aggregations).
• Hands-on experience with Apache Kafka (publish/subscribe, streams, scalability).
• Proficiency in Oracle Database (SQL, PL/SQL, optimization).
• Experience with caching frameworks (Redis or equivalent).
• Ability to effectively leverage Generative AI coding assistants for improved development productivity.
• Knowledge of real-time data processing and data pipeline design.
• Familiarity with NLP APIs and integrating external ML/AI services is a plus
• Understanding of distributed systems, concurrency, and performance tuning.

• 401k matching
• Health insurance
• Flight privileges

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