Engineering services for fintech and enterprise modernization
Blankfactor is a Globant division focused on full-stack and data engineering for financial services. The company's tech stack—Kafka, Kinesis, Spark, Snowflake, dbt, Airflow—is heavily weighted toward real-time data and streaming systems, reflected in active projects around wire-transfer modernization, transaction platforms, and real-time data pipelines. Hiring is concentrated in senior engineering roles across distributed offices in Bulgaria, Colombia, the US, and Canada, signaling a scaling operation built on high-level execution rather than entry-level hiring.
Notable leadership hires: Technical Director
Blankfactor delivers engineering and digital product development services to fintech, banking, capital markets, and life sciences companies. The company operates as a Globant division with offices across Bulgaria, Colombia, Romania, the United Kingdom, and the United States. Their work centers on modernizing legacy monolithic systems into microservices architectures, building real-time transaction and data-streaming platforms, and enabling cloud adoption for regulated industries. The project mix reflects a client base managing high-volume payment flows and enterprise infrastructure challenges—from wire-transfer redesigns to hybrid cloud deployments spanning AWS and on-premises Red Hat OpenShift.
Blankfactor uses Kafka, Kinesis, Apache Spark, Snowflake, Redshift, AWS (Lambda, Glue, MSK, AppSync), dbt, Apache Airflow, and Terraform for infrastructure. Frontend work spans React, Angular, and Vue. Backend development uses Java (Spring Boot, Hibernate), Node.js, and PHP. The stack is heavily weighted toward real-time data streaming and cloud-native architecture.
Projects include fintech modernization (finacle-based wire transfers, payment gateway migration), real-time data streaming systems, microservices decomposition of legacy monoliths, hybrid cloud architecture (AWS and Red Hat OpenShift), and secure CI/CD platforms for banking. The work reflects modernizing legacy infrastructure while handling high-volume transaction data.
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