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Job description

Role description ITP Modernization — High-volume financial trade-processing platform (100M+ daily settlements) Architected event-driven microservices using Java 17, Spring Boot, and Apache Kafka, modernizing legacy trade-processing systems handling high-volume financial transactions at enterprise scale. Engineered high-throughput Kafka consumer pipelines with retry, dead-letter queue, and circuit-breaker patterns by achieving 3x throughput improvement (10K→30K msgs/sec) with idempotent processing and at-least-once delivery semantics to prevent message loss. Owned resiliency strategy across distributed workflows supporting 100M+ daily settlements at 99.95% SLA; implemented distributed caching with Redis, reducing event processing latency by 35%. Optimized concurrent processing using CompletableFuture, custom thread-pool executors, and async patterns; deployed services on Kubernetes/OpenShift with batch orchestration via Autosys. Authored System design documents (HLD/LLD) and led architecture reviews defining scalability, fault-tolerance, and high-availability standards adopted across the platform. Implemented MCP integrations with various external services used in SDLC like JIRA, Jenkins for easier adoption across teams