Summary
Jaime Dantas is a Senior Software Engineer with nine years of hands-on experience building high-performance, cloud-native systems for banking and fintech, specialising in Java, Kotlin, Spring, and distributed architectures. He has led large modernisations—migrating mainframes to microservices and architecting payment and ledger platforms that span US and European markets—while delivering operational observability with Kafka, Prometheus and Grafana. An academic and researcher at heart, Jaime has published multiple papers on serverless and autoscaling and taught NoSQL and IoT data modelling, bringing rigorous performance optimisation to production systems. He also founded a fintech tax automation startup and created open-source network tooling early in his career, demonstrating a blend of product-minded entrepreneurship and deep infrastructure expertise. Based in Greater Sudbury, Canada, he thrives on solving complex scalability challenges and turning research insights into production-ready solutions.
9 years of coding experience
11 years of employment as a software developer
Engineer’s Degree Instrumentation Engineering, Engineer’s Degree Instrumentation Engineering at Confederation College
Technician Computer Networks, Technician Computer Networks at Metrópole Digital - IMD/UFRN
Federal University of Rio Grande do Norte
Master of Applied Science Electrical and Computer Engineering, Master of Applied Science Electrical and Computer Engineering at York University
Portuguese, English, Spanish