Java Spring Boot Developer - Capital Markets

Design, develop, and support integrations for post-trade data aggregation, reconciliation, reporting, and downstream data distribution.

• Build fault-tolerant, resilient, and scalable systems.
• Participate throughout the software lifecycle, including design, development, deployment, monitoring, and production support.
• Develop and maintain REST APIs, WebSocket services, messaging integrations, and ETL/data processing workflows.
• Collaborate with business, operations, and technology teams to understand requirements and deliver integration solutions.
• Ensure high standards of code quality, testability, and maintainability through code reviews and automated testing.
• Troubleshoot complex production issues, perform root cause analysis, and implement sustainable solutions.
• Support performance monitoring, debugging, profiling, and optimization.
• Senior engineers will provide technical leadership and mentorship to junior team members.

Strong Java development experience with Spring Boot and microservices.

• Strong programming skills in Java, JavaScript, Python, and SQL.
• Capital Markets and financial markets experience.
• Experience with Trading Middle Office, Back Office, and Clearing systems.
• Strong understanding of trade lifecycle and post-trade processes across equities, bonds, options, and futures.
• Experience with post-trade data aggregation, reconciliation, downstream distribution, and reporting.
• Understanding of allocations, confirmations, settlement, risk, finance, and regulatory reporting.
• Experience integrating data across multiple applications, vendor platforms, and enterprise systems.
• Strong OOP, multithreading, concurrency, memory management, and performance optimization

skills.

• Experience building microservices using Spring Boot on Kubernetes and/or serverless cloud platforms.
• Hands-on RESTful API and WebSocket development.
• Strong RDBMS experience with PostgreSQL, SQL Server, or similar databases.
• Experience with ETL, data integration, and data transformation workloads.
• Strong understanding of DevOps, CI/CD, and automated testing.
• Experience with Docker and Kubernetes; AWS experience is a plus.
• Experience with messaging/event-driven platforms such as Kafka, RabbitMQ, or IBM MQ.
• Experience using LLM-powered engineering tools such as GitHub Copilot or Claude Code., Experience with middle-tier technologies such as Redis, Coherence, and messaging platforms/queues.
• Experience with modern front-end technologies: HTML, CSS, JavaScript, TypeScript, and React.
• Experience with Datadog, Prometheus, Grafana, JMC, JFR, JMeter, YourKit, or similar tools.
• Strong understanding of data structures, algorithms, and computational complexity.
• Experience working with trade, reference, market, or financial data.
• AWS cloud experience.
• Strong communication, ownership, and problem-solving skills.