Special Skills Required: Must have work experience with each of the following: 1) Designing and delivering low-latency, fault-tolerant real-time financial data pipeline systems requiring specialized expertise in Apache Kafka and Apache Flink, including advanced performance profiling, memory optimization, and throughput tuning for high-volume enterprise workloads; 2) Directing the architecture and implementation of enterprise financial risk processing systems requiring deep expertise in Java, Spring Boot, and Apache Flink, including design of high-concurrency, low-latency risk computation engines, real-time event-driven microservices, and complex quantitative risk model integrations to aggregate, process, and model financial risk data from heterogeneous source platforms at enterprise scale; 3) Executing large-scale cloud migration strategies requiring specialized knowledge of AWS infrastructure and CI/CD automation using Jenkins, Harness, and Docker to modernize complex legacy financial systems while sustaining zero-downtime delivery across terabyte-scale data workloads; and 4) Implementing end-to-end production observability frameworks for distributed financial streaming applications requiring advanced expertise in Splunk and AppDynamics for real-time performance monitoring, anomaly detection, and incident resolution at enterprise scale. Direct the architecture and implementation of enterprise financial risk processing systems requiring deep expertise in Java, Spring Boot, and Apache Flink, including design of high-concurrency, low-latency risk computation engines, real-time event-driven microservices, and complex quantitative risk model integrations to aggregate, process, and model financial risk data from heterogeneous source platforms at enterprise scale.