Financial services infrastructure for regional agent networks and fintech partnerships
KasNet operates a correspondent agent network serving microfinance and fintech companies across Peru. The tech stack reveals a mature AWS-centric data platform (Lambda, Glue, MSK, RDS, DynamoDB) paired with traditional business intelligence (QuickSight, Power BI) — typical of a payment/transactions business managing high-volume settlement and reporting. Hiring is heavily concentrated in support (24 roles) with minimal engineering (1 role), signaling KasNet is scaling operational capacity to handle post-sale agent management rather than building new products.
KasNet (operating as Globokas Perú S.A.) manages a network of financial agents and correspondents across Peru, providing transaction infrastructure, payment services, and agent support for microfinance institutions and fintech companies. Founded in 2007 and headquartered in Santiago de Surco, Lima, the company operates in the 201–500 employee range with a regional focus. Core capabilities include POS equipment deployment, agent training and onboarding, compliance reporting, and transaction settlement—services that require significant post-sale operational support across a distributed agent base.
KasNet uses AWS services (Lambda, Glue, MSK, RDS, DynamoDB), multiple relational databases (PostgreSQL, MySQL, SQL Server, Oracle), and BI tools (QuickSight, Power BI). PySpark and Python handle data processing; GitHub and Bitbucket manage code.
Active projects include agent training programs, POS equipment installation, compliance control implementation, and regulatory reporting systems. Key challenges cited are post-sale agent support coverage and equipment maintenance across the agent network.
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