Java Spring Boot With Capital Market Exp

• Design, develop, and support integrations for post-trade data aggregation, reconciliation, reporting, and downstream data distribution systems.
• Build fault-tolerant and resilient systems and participate in the entire software lifecycle, including design, development, deployment, monitoring, and production support.
• Collaborate with business, operations, and technology teams to understand requirements and deliver scalable integration solutions.
• Develop and maintain APIs, messaging-based integrations, and ETL/data processing workflows.
• Uphold and champion high standards for code quality, testability, a nd maintainability through code reviews, automated testing, and engineering best practices.
• Troubleshoot complex production issues, perform root cause analysis, and implement sustainable solutions.
• Senior candidates: Act as a technical leader and mentor to less experienced engineers, providing technical guidance and fostering a collaborative engineering culture.

Requires 7-10 years of experience for mid-level candidates and 10-15 years of experience for senior-level candidates. Strong programming skills in Java, JavaScript, Python, and SQL are required. Capital Markets experience and a solid understanding of financial markets are highly desirable. Required Experience

• General understanding of financial markets.
• Experience with Trading Middle Office, Back Office, and Clearing systems.
• Experience with post-trade processing including, but not limited to, trade data aggregation, reconciliation, downstream data distribution, and reporting systems.
• Knowledge of the trade lifecycle and post-trade processes across asset classes including equities, bonds, options, and futures.
• Understanding of post-trade data flows including allocations, confirmations, settlement, risk, finance, and regulatory reporting.
• Experience integrating data across multiple applications, vendor platforms, and enterprise systems.
• Strong communication skills, capable of effectively collaborating with both technical and non-technical stakeholders.
• Demonstrated ability to take ownership of projects from concept through deployment and work proactively to achieve delivery objectives.
• Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Strong understanding of DevOps practices, CI/CD pipelines, and automated testing.
• Experience with containerization and cloud technologies (Docker, Kubernetes). AWS experience is a plus.
• Demonstrable experience using LLM-powered engineering tools such as GitHub Copilot and/or Claude Code., * Full-stack development experience with proficiency in JavaScript and Java, and a strong understanding of multi-threading, concurrency, memory management, and performance optimization.
• Strong understanding of object-oriented programming (OOP) and hands-on experience building microservices using Spring Boot on Kubernetes and/or serverless cloud platforms.
• Experience with middle-tier applications (Redis, Coherence, messaging platforms/queues) and strong RDBMS skills (PostgreSQL, SQL Server).
• Experience in data integration, data transformation, and ETL workloads running on Kubernetes.
• Hands-on experience developing RESTful APIs and WebSocket services.
• Experience with modern front-end technologies including HTML, CSS, JavaScript, TypeScript, and React.
• Familiarity with monitoring, debugging, profiling, and performance tuning tools (Datadog, Prometheus, Grafana, JMC, JFR, JMeter, YourKit, etc.).
• Understanding of data structures, algorithms, and computational complexity.
• Experience with messaging and event-driven architectures (Kafka, RabbitMQ, IBM MQ, or similar) is highly desirable.
• Experience working with trade, reference, market, or financial data is a strong plus.