Senior Backend Developer - Python | Django | AWS

I build backend systems that need to work reliably at scale. My experience spans healthcare data processing, payment integrations, LLM platforms, and microservices architecture.

Backend Systems & APIs Building and maintaining production APIs, microservices, and data processing pipelines. I focus on code quality, test coverage, and documentation so systems can be maintained and scaled over time.

Integration Platforms Connecting third-party services - payment processors, CRMs, cloud infrastructure, databases. I handle authentication, rate limiting, error handling, and the details that make integrations robust.

System Architecture Designing backend systems for specific business needs - understanding trade-offs between speed, cost, and maintainability. Clean architecture principles, separation of concerns, and planning for change.

DevOps & Infrastructure AWS deployments, Docker containerization, CI/CD pipelines. Infrastructure as code, monitoring, logging, and the operational side of keeping systems running.

Core Expertise Python (Django, Flask, FastAPI) • PostgreSQL • AWS • Docker • Git

Backend Development SQLAlchemy • Django REST Framework • Async programming • Test-driven development Microservices • Clean architecture • API design

Cloud & DevOps
AWS (ECS, Lambda, RDS, S3, SQS) • Kubernetes • Terraform • Jenkins • GitHub Actions

Integrations Stripe & payment processing • CRM APIs (Salesforce, HubSpot) • OAuth & SSO LLM platforms • Vector databases • Real-time data streaming

• Healthcare: HIPAA-compliant systems, PBM marketplaces, patient data processing
• Fintech: Payment gateways, ACH processing, PCI compliance, tokenization
• AI/ML: LLM integration, RAG patterns, vector databases, MCP connections
• E-commerce: High-traffic platforms, inventory systems, checkout flows

Pinned below - production systems I've built:

Construbot - SaaS platform for construction companies to manage contracts and create milestone reports for client billing. Django, AWS ECS, Stripe integration.

Radargas - IoT platform for monitoring propane tank levels. Sensor devices + backend API + mobile app. GeoDjango, AWS IoT Core, Lambda functions.

I prioritize understanding the actual problem before writing code. This means asking questions about use cases, user flows, and business constraints. I document architecture decisions, write tests, and create READMEs so other developers can work with the code.

When integrating third-party services, I read their documentation thoroughly, understand rate limits and error cases, and implement proper retry logic and monitoring.

Currently working on:

• LLM integration platform (RAIA.live) - connecting 25+ third-party services
• Healthcare data processing (Truveris) - HIPAA-compliant microservices
• E-commerce platforms - 300K unique users/month, payment processing

Previous experience includes payment integrations, insurance marketplaces, video conferencing systems, and real-time sports betting platforms.

LinkedIn 💼 Upwork Profile - Top Rated Plus

AWS Certified Cloud Practitioner • Applied Data Science (Columbia/Emeritus)

Based in Aguascalientes, Mexico • Available for remote contract work