Abstract : Modernizing credit and lending technology infrastructure is a major engineering problem in the financial services technology sector? Large, monolithic systems, based on mainframe computers, cannot meet the scalability, deployment agility, and integration challenges of computer software-based, digital-only bank infrastructures. The use of microservices architecture has since become the dominant methodology for platform modernization in the credit and lending technology sector, enabling scalable, fault-isolating, and continuous deployment of credit and lending capabilities in complex, highly regulated operational environments. Business capability decomposition‚ resilience patterns at service boundaries‚ and event-driven consistency patterns play a key role in addressing the scalability and availability challenges of high-volume financial transaction platforms unable to be solved using monolithic architecture? Regulatory compliance requirements such as decision auditability‚ model risk governance‚ and reproducible reporting are supported by event sourcing‚ immutable audit logs‚ and schema registry infrastructure for full decision provenance across distributed service boundaries? Hybrid processing architectures that separate real-time transaction processing from batch risk calculation allow credit platforms to expose high-throughput millisecond-latency interactions with customers with large-scale overnight portfolio-level computational processing without resource contention or affecting the overall architecture. Data governance disciplines including contract-based interface design, consumer-driven contract testing (from the consumer's point of view), and automated reconciliation data pipelines allow independent services to avoid correctness problems when interacting with other independently deployed services, for example, when making credit decisions or producing regulatory reports.