Willames Campos

Senior Backend Engineer with 5+ years of experience building scalable, reliable, and business-critical backend systems using Python, FastAPI, Django, REST APIs, microservices, distributed systems, asynchronous processing, and cloud-native services on AWS and GCP. Strong track record of measurable impact, including supporting platforms serving 100–10,000+ users, reducing onboarding workflows from 4 hours to 5 minutes, reducing deployment time by 67%, reducing recurring production incidents from 30 to 4 per month, and improving notification feature development speed by 83%. Currently working with large-scale marketplace and financial systems, contributing to event-driven workflows, message-driven systems, cloud-native applications, and AI-assisted development practices using Claude AI, Cursor, OpenSpec, and agent-based workflows.

Senior Backend Engineer | Python, FastAPI, Event-Driven Systems, GCP & AI-Assisted Development at Luizalabs (2026-01 – Present)

• Designed and maintained backend services for large-scale marketplace and financial systems, contributing to the evolution of distributed backend architectures and event-driven workflows.
• Developed and maintained event-driven workflows to process business-critical events across marketplace and financial operations.
• Worked with message-driven systems involving Apache Kafka, Google Pub/Sub, and RabbitMQ, supporting asynchronous processing and service integrations.
• Built and maintained cloud-native backend applications on Google Cloud Platform (GCP), working with deployment workflows involving ArgoCD and Kubernetes-based infrastructure.
• Used AI-assisted development workflows with Claude AI, Cursor, OpenSpec, and agent-based practices to support technical planning, specification-driven development, implementation, and delivery quality.

Backend Engineer | Python, Django, FastAPI | AWS & Microservices at Inspand (2025-01 – 2026-01)

• Led backend architecture, scalability, and evolution of the company's core platform, serving 100–10,000 users across enterprise clients in Brazil.
• Resolved a critical production incident affecting inter-service communication, restoring system availability in under 2 hours by redesigning authentication flows with OAuth2 and JWT.
• Improved performance of high-traffic reporting APIs by optimizing MongoDB and PostgreSQL queries, applying indexing, caching strategies, and reducing payload size.
• Designed secure service-to-service authentication across REST microservices, improving reliability and context-aware communication between internal systems.
• Proposed an architectural migration from Django to FastAPI for high-throughput reporting services focused on scalability and response-time improvements.
• Developed asynchronous processing pipelines with Celery and monitored production environments using AWS CloudWatch and ECS.

Backend Engineer | Python, Django, FastAPI, GCP & API Integrations at Movva (2022-05 – 2025-01)

Promoted from Full Stack Developer to Backend Engineer, taking ownership of backend architecture, integrations, scalability, and system reliability.

• Redesigned the notification system using the Abstract Factory pattern in Python, reducing development and testing time for new notification types from 2 hours to 20 minutes — an 83% improvement.
• Resolved critical security vulnerabilities involving application logs and file data exposure, reducing recurring production incidents from 30 to 4 per month.
• Led third-party communication integrations with Twilio, Zenvia, and Salesforce Mobile Connect, while building secure file upload workflows with signed URLs on Google Cloud Storage for files larger than 30MB.
• Built and deployed cloud-native backend services on GCP using Cloud Run, Firestore, Artifact Registry, Docker, Flask, FastAPI, Django, and Django REST Framework.

Backend Engineer | Python, Django, DRF, AWS & CI/CD at Arbache Innovations (2021-04 – 2022-05)

Promoted from Backend Intern to Backend Engineer, contributing to the development, scalability, and reliability of core platform features.

• Built a competency assessment platform using Django, Celery, Redis, and AWS, contributing to a 40% increase in new client acquisition.
• Designed a batch registration pipeline capable of processing up to 500 employees, reducing onboarding time from 4 hours to 5 minutes — a 92.5% improvement.
• Improved CI/CD pipelines using GitHub Actions, Docker, and Docker Compose, reducing deployment time by 67%.
• Designed asynchronous processing workflows with Celery and Redis, reducing batch processing time by 86%, and maintained REST APIs with optimized PostgreSQL queries and third-party integrations.

Bachelor of Science in Computer Engineering – Federal University of Sergipe (UFS) (2024-06)