04/02/2026 updated
100 % available
Backend Software Engineer | AWS Cloud Architecture | Java • Spring Boot • Python
Mexico City, Mexico
Only remote
Associate's Degree in Computer ScienceAbout me
Lead Backend Consultant. I architect and scale high-concurrency distributed systems (Java/Spring, Python/FastAPI). I don't just write code; I deliver containerized, event-driven microservices (Kafka, AWS) rigorously load-tested for extreme resource efficiency, 99.9% uptime, and zero leaks.
Java (Programming Language)Spring SecurityAmazon Web ServicesDevOpsGitHubJava Development ToolsSpring FrameworkJava API For RESTful Web Services (JAX-RS)Python (Programming Language)PostgreSQLRabbitMQRedisSwaggerOpenapiPostman
Backend Development & Frameworks
Java (17+/21+), Python, Spring Boot, Spring WebFlux, Spring MVC, Spring Security, FastAPI, Hibernate/JPA, R2DBC.
Cloud, Infrastructure & DevOps
AWS (EC2, RDS, VPC, S3, Secrets Manager, CloudFront), Docker, Docker Compose, Terraform (Infrastructure as Code), GitHub Actions (CI/CD Pipelines), Git (Advanced Branching), Linux/Bash Scripting.
Database, Search & Messaging
PostgreSQL, Neon (Serverless PostgreSQL), Elasticsearch, Apache Kafka (Event Orchestration), RabbitMQ, Redis (Caching, Pub/Sub, Rate Limiting).0
Architecture, System Design & Security
Microservices Architecture, Event-Driven Architecture (EDA), CQRS, Inversion of Control (IoC), Reactive Programming, Concurrency Optimization, Rate Limiting, API Key Validation, Load Testing.
API Design & Project Tools
REST API Modernization, OpenAPI, Swagger, Postman, Jira, Trello, Notion.
Languages
EnglishGoodSpanishNative speaker
Project history
- Engineered an automated cloud synchronization pipeline using Python and FastAPI, enabling scalable YouTube-to-Dropbox asset migration workflows.
- Developed a monitoring and notification system via Telegram Bot API to automate API key rotation and deliver real-time system metrics, eliminating manual intervention for credential management.
- Integrated yt-dlp for high-efficiency media extraction, managing concurrent playlist synchronizations and optimizing cloud storage throughput.
- Created a fully asynchronous, resilient mailing microservice utilizing Spring WebFlux and RabbitMQ, ensuring reliable message processing and delivery of 10,000+ monthly transactional emails.
- Implemented a custom security layer featuring strict API Key validation and dynamic Rate Limiting, neutralizing abuse vectors and protecting Mailgun API quotas while maintaining a 99.9% successful delivery rate.
- Integrated Neon (serverless PostgreSQL) for low-latency state management and payload tracking, entirely decoupling the notification domain from core services to guarantee high availability and fault tolerance.
- Architected and deployed AWS cloud infrastructure (EC2, RDS, VPC) achieving 99.9% uptime while supporting 144,000+ daily users and reducing infrastructure costs by 25%.
- Architected a partitioned, event-driven system managing 32 state-level producers, achieving a baseline throughput of ~144,000 events/day per processing unit under normal load.
- Defined strict firewall rules to isolate the management interface, effectively mitigating unauthorized public hotspot access risks.
- Established a hierarchical concurrency model (c^2) to optimize worker pools and improve parallel processing efficiency under load.
- Designed an isolated local debugging environment using Docker Compose, closely replicating production conditions.
- Integrated Kafka to implement strict backpressure across microservices, effectively buffering bursts of up to 384 concurrent commands to prevent Access Point (AP) overload.
- Scaled infrastructure horizontally across distributed APs, significantly improving overall system throughput under concurrent load.
- Implemented asynchronous retry mechanisms using WebFlux to reprocess failed events, ensuring reliable message delivery across 32 producers.
- Developed a custom stateless security engine, decoupling session management across the distributed network.
- Reduced server memory footprint by ~40% and cut authentication latency to under 50ms under typical load.
- Designed and implemented a scalable PostgreSQL schema architecture on AWS RDS, optimized for high-concurrency workloads.
- Modernized legacy REST API endpoints by migrating to Spring Boot, reducing response times by 30% and eliminating 95% of system crashes for mobile users.
- Optimized the talent search algorithm using Elasticsearch to improve relevance in matching freelancers with job offers, decreasing complex query latency and improving freelancer-to-job match relevance by ~40%.
- Collaborated on the migration of on-premise media assets to AWS S3 and implemented CloudFront CDN, decreasing portfolio load times by ~50% for mobile users and significantly reducing server bandwidth load.