Germany
Senior Software Engineer & Ph.D. in Physics specialized in the architecture of mission-critical, high-availability platforms for the Financial and Insurance sectors. Leveraging over 5 years of experience bridging analytical rigor with robust software engineering to deliver Distributed Systems and Event-Driven Architectures Key Achievements: - Scalability: Redesigned trading platform architecture, resulting in a 10x throughput increase while ensuring disaster recovery and maintainability - Operational Growth: Led the system design of a next-generation insurance platform, driving a 140% increase in operational capacity - Innovation: Engineered a central order book for fixed-income trading, enhancing transaction processing by 40%+ Technical Expertise: - Languages: Clojure, Python, SQL - Architecture: Microservices, Domain-Driven Design (DDD), System Design, and High Availability - Infrastructure & DevOps: AWS (Lambda, S3), Kafka, Docker, Kubernetes, and CI/CD (GitHub Actions/Jenkins) - Leadership: Mentored 8+ software engineers, defining engineering standards, code review processes, and high-performance workflows Nationality: Brazilian Email: [email protected]
- Architected and delivered a distributed fixed-income trade repository platform (Trade Repository & Depository Platform, TR + CSD) from conception to production, defining system architecture, communication patterns, persistence strategies, and engineering standards. - Led the redesign of the trading platform architecture, increasing throughput by 10x while improving scalability, resilience, disaster recovery, and maintainability of business-critical services. - Developed high-performance backend services in Clojure, applying microservices, event-driven architecture, Apache Cassandra, PostgreSQL, and WebSocket/FIX integration. - Designed and implemented an in-house automated end-to-end testing framework using Python, Pytest, and WebSocket, replacing proprietary tooling and reducing recurring licensing costs. - Established standardized development and deployment environments using Docker and Docker Compose, improving engineering consistency and high-availability practices. - Mentored 8+ software engineers through code reviews, merge request evaluations, and regular technical coaching while defining engineering best practices. - Implemented a central order book for fixed-income secondary market trading, increasing transaction processing by 40%, improving traceability, and enhancing operational reliability. - Designed and implemented an automated database migration process, reducing deployment time by 94% and minimizing operational errors by eliminating manual database changes during deployments.
- Led the system design and software architecture of a next-generation insurance platform, delivering a 140% increase in operational capacity from concept through production deployment. - Designed and implemented a high-performance Apache Parquet processing engine to ingest, validate, transform, and publish regulatory data within a Lakehouse/Object Storage architecture, enabling successful supplier homologation within regulatory deadlines. - Architected and implemented a scalable data migration solution for the public insurance API (SRO), optimizing execution time, reducing infrastructure costs (FinOps), and ensuring data integrity and consistency. - Developed and automated end-to-end functional testing using Python, Selenium, and scheduled execution pipelines, improving software quality, release reliability, and delivery efficiency. - Built cloud-native, event-driven solutions using AWS Lambda, Amazon S3, and Apache Kafka, enabling scalable, resilient, and asynchronous regulatory data processing. - Represented the organization in the Brazilian insurance committee (SRO), collaborating with regulators and industry stakeholders to define technical integration standards and regulatory requirements.
- Executed backend development tasks by building and maintaining services in Clojure, strictly adhering to established Microservices and Event-Driven Architecture guidelines. - Actively participated in domain modeling, technical design sessions, and backlog refinement, contributing to discussions and executing features based on architectural decisions defined by senior engineers. - Assisted in building and maintaining Docker images and Docker Compose environments to support local development and standard testing workflows. - Supported deployment automation by maintaining and executing CI/CD pipelines across testing and production environments under senior supervision.
Throughout my PhD in Physics, I focused on critical phenomena and phase transitions, enhancing my computational modeling and statistical analysis skills through intensive use of open-source tools such as the Debian system, VS Code, HDF5, Git, Bash, Python, XMDS2, and LaTeX. The execution of complex simulations and data analyses was carried out in high-performance cluster environments, enabling the handling of large data volumes and the performance of intensive computational calculations.
Research on critical phenomena theory and second-order phase transitions, computational modeling, and statistical analysis in biodiversity systems. Executed simulations and data analyses in high-performance computing (HPC) environments, processing large volumes of data and performing intensive computational calculations.
Summer internship at the University of Coimbra, focused on numerical simulation and modeling of wildfire prevention strategies based on Percolation theory.