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