I am a Senior Staff Engineer with 18 years of experience designing and scaling high-availability distributed systems. My background is centered on Java and backend API development, with a strong focus on building reliable, scalable, and maintainable platforms.
I have extensive experience architecting event-driven microservices, real-time data pipelines, and high-throughput APIs that serve millions of users. I have worked across FinTech and enterprise environments, where performance, data integrity, and low-latency delivery are critical.
My technical strengths include Java, Node.js, Python, SQL, Spring Boot, Kafka, Kubernetes, Docker, AWS, and Azure. I also bring deep experience in observability, database optimization, CI/CD, and Linux-based cloud environments.
In my recent consulting work, I have led architectural strategy and hands-on engineering for European financial institutions. I have designed real-time event systems, modernized legacy monoliths into microservices, and improved scalability and delivery speed through engineering best practices.
Throughout my career, I have contributed to high-impact backend systems in financial services, CRM, SaaS, and IoT domains. I enjoy solving complex engineering problems, improving system reliability, and helping teams deliver better software faster.
I work well in distributed, cross-functional teams and value collaboration with product managers, QA engineers, and architects. I am especially motivated by opportunities to build robust backend platforms that can scale with business growth.
Bachelor’s degree completed in RS, Brazil.
Provided high-scale architectural strategy and hands-on engineering for European financial institutions. Designed and implemented Kafka-based real-time event systems, built backend services with Java 17+ and Spring Boot, decomposed a legacy monolith into 12 microservices, improved cloud resource usage by 35%, scaled request capacity by 1.5x, and introduced DDD and TDD practices to improve delivery rates.
Built reactive backend APIs with Spring Boot and Postgres for telemetry from 500K+ IoT devices. Optimized database schemas and queries to reduce latency by 40%, developed Python and MongoDB data pipelines, and implemented containerized deployments with GitHub Actions for AWS Linux environments.
Architected a microservices ecosystem using Java and Spring Boot for customer-facing financial workflows. Implemented ETL pipelines with Python and MongoDB, established Docker and Kubernetes automation with Jenkins to AWS, and improved risk insight delivery by 15%.
Designed an event-sourced backend using Java, Spring Boot, and Kafka for a CRM serving 5M customers across 400+ branches. Increased lead enrichment throughput 10x through MongoDB indexing and Kafka consumer group optimization, and led observability initiatives using Grafana and ELK.
Led migration of nationwide B2B applications to a cloud-native SaaS architecture using Java, Spring Boot, and Docker on AWS. Built reusable Java component libraries adopted by 60+ engineers and supported onboarding of 200+ B2B customers while maintaining platform stability.
Contributed to enterprise backend systems across .NET, C#, SQL, and ASP.NET MVC. Progressed from Junior to Mid-level while taking ownership of increasingly complex backend and integration tasks.
Jobicy
617 professionals pay to access exclusive and experimental features on Jobicy
Free
USD $0/month
For people just getting started
Plus
USD $8/month
Everything in Free, and: