Latin America's largest bank modernizing payment and core systems on AWS
Itaú Unibanco is the largest bank in Latin America, operating 24/5 critical infrastructure across retail and corporate divisions. The tech stack reveals a bank mid-modernization: heavy AWS adoption (.NET, Java, Spring Boot, Lambda, RDS, Aurora) paired with event-driven architecture (Kafka, EventBridge, SQS/SNS) and observability tooling (Datadog, CloudWatch). Active hiring across engineering (45 roles), sales (32), and data (14) suggests concurrent pushes on platform modernization, corporate client expansion, and operational observability — all complicated by legacy system debt and sub-millisecond latency demands in payment processing.
Notable leadership hires: Software Engineer Lead
Itaú Unibanco is a financial services institution headquartered in São Paulo, Brazil, serving retail and corporate customers across Latin America. The company operates critical payment systems, fund processing infrastructure, and digital platforms (including a superapp and corporate portal) on a technology footprint spanning .NET/Java backends, containerized microservices (Docker, ECS), and AWS managed data services (RDS, Aurora, DynamoDB). Current project focus includes modernizing the payment platform, building observability dashboards for 24/5 operations, deploying microfrontends for client-facing applications, and integrating AI capabilities. The organization faces typical large-bank challenges: managing legacy platform retirement, reducing latency in transaction systems, and scaling corporate client onboarding while maintaining high availability.
Core languages: .NET, Java, Python, Kotlin, C#. Cloud: AWS (Lambda, RDS, Aurora, DynamoDB, SQS/SNS, EventBridge, ECS). Data/messaging: Kafka, Redis, ElastiCache, MySQL, PostgreSQL. DevOps: Terraform, CloudFormation, Docker, CI/CD. Observability: Datadog, CloudWatch.
Modernizing payment platform, building observability dashboards and alerts, deploying microfrontends for superapp and portal, fund processing systems, AI integration, and government innovation projects. Key pain point is retiring legacy infrastructure while maintaining 24/5 uptime.
Itaú Unibanco's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.