Brazil's largest digital bank scaling fintech infrastructure and credit products
Inter is a 1,000–5,000-person digital bank operating across Brazil with a diversified product suite spanning deposits, credit (mortgage, payroll, corporate), investments, and insurance. The tech stack reveals a data-heavy, distributed systems operation: Python + PySpark + Airflow for analytics pipelines, Kafka + Kubernetes + Spring Boot for microservices, and DynamoDB + PostgreSQL for persistence. Active hiring skews engineering-forward (52 open roles) with acute focus on data (20 roles) and infrastructure, while projects around zero-trust architecture, distributed service APIs, and credit activation suggest internal scaling constraints—compliance, availability, and operational friction are the stated friction points.
Notable leadership hires: Technology Lead
Inter is a fully digital, fee-free retail and commercial bank headquartered in Belo Horizonte, Brazil, with operational presence across all Brazilian municipalities exceeding 20,000 residents. The bank offers a broad financial services portfolio: checking and savings accounts (personal and corporate), credit cards, mortgages, payroll loans, corporate lending, investment products (CDBs, LCIs, LCAs, direct treasury access, funds), insurance, and currency exchange. The business runs on a multi-tenant cloud infrastructure (AWS, Kubernetes, Kafka, Airflow) designed to handle millions of users, with 35 mortgage origination offices and a growing push into cross-border payments and US expansion. Hiring activity (118 roles posted in the last 30 days) indicates acceleration in engineering and data functions.
Python, PySpark, Apache Airflow for data pipelines; Kafka, Kubernetes, Spring Boot, Micronaut for distributed services; PostgreSQL, DynamoDB, SQL Server, MongoDB for persistence; Salesforce for CRM; AWS as primary cloud provider.
Credit product activation flows, CRM journey orchestration, zero-trust architecture, dashboard development for OKRs, distributed services APIs for super-app expansion, international expansion (US payments), and advanced data segmentation.
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