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Payment Solution Architect

K A R A NUnited StatesSENIORPosted 12d ago
ElasticsearchELK StackKafkaJavaPythonAWSAzureRTPSWIFTMXFedwireFed ISOISO 20022
About the Role We are looking for an experienced Payment Solution Architect to design and build a scalable, enterprise-grade payment lifecycle tracking platform, providing real-time visibility into payment processing, transaction statuses, workflows, exceptions, and SLA performance. Key Responsibilities • Design and build payment lifecycle tracking platforms from the ground up • Work with payment processing systems such as RTP, SWIFT, MX, Fedwire, Fed ISO, and ISO 20022 • Architect solutions using the Elastic Stack (Elasticsearch, Logstash, and Kibana) for search, analytics, and monitoring • Develop real-time dashboards for transaction monitoring, exception tracking, bottleneck analysis, and SLA management • Define standard APIs, integration patterns, and reusable onboarding frameworks • Design event-driven workflows, exception handling, automated alerts, and work-item creation • Ensure scalability, high availability, performance, security, and data retention compliance • Drive architecture decisions, collaborate with engineering teams, and mentor developers Requirements • Minimum 15+ years of overall IT experience with strong Solution Architecture expertise • Experience supporting payment platforms within financial institutions • Strong hands-on experience in Full Stack Development and Data Engineering • Expertise in Elasticsearch and ELK Stack, including cluster sizing, performance tuning, indexing strategies, ingestion pipelines, and Kibana • Experience building scalable platforms for event tracking, transaction monitoring, order tracking, trade lifecycle, or payment lifecycle management • Strong understanding of distributed systems, event-driven architecture, and microservices • Hands-on development experience using Java, Python, or similar technologies • Experience with relational and NoSQL databases • Expertise in API integrations, Kafka, MQ, event streams, and heterogeneous data sources • Cloud deployment experience on AWS or Azure

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