Secuvy

At Secuvy, I lead backend development initiatives focused on data security and privacy, including building POCs for innovative solutions.

I built and maintained core backend services using Node.js (TypeScript), AWS Lambda and n8n in a microservices architecture, ensuring scalability and maintainability.

I integrated Redis (BullQ), and RabbitMQ for queue-based async processing and inter-service communication, improving system reliability and performance.

I set up CI/CD pipelines using GitLab, deploying services on AWS EKS (Kubernetes) with automated testing and rollback capabilities.

I implemented comprehensive monitoring using Prometheus + Grafana, and centralized logging via the ELK Stack for better observability.

I collaborated with the AI team to integrate privacy-preserving machine learning models, bridging the gap between traditional backend and AI systems.

I mentored junior developers and participated in architecture planning, sprint cycles, and Agile ceremonies to ensure project success.

• Led backend development initiatives focused on data security and privacy, including building POCs.
• Built and maintained core backend services using Node.js (TypeScript), AWS Lambda and n8n in a microservices architecture.
• Integrated Redis (BullQ), and RabbitMQ for queue-based async processing and inter-service communication.
• Set up CI/CD pipelines using GitLab, deploying services on AWS EKS (Kubernetes) with automated testing and rollback.
• Implemented monitoring using Prometheus + Grafana, and centralized logging via the ELK Stack.
• Collaborated with the AI team to integrate privacy-preserving machine learning models.
• Mentored junior developers and participated in architecture planning, sprint cycles, and Agile ceremonies.

Backend Infrastructure

Built and maintained core backend services using Node.js (TypeScript), AWS Lambda and n8n in a microservices architecture.

Queue Processing

Integrated Redis (BullQ), and RabbitMQ for queue-based async processing and inter-service communication.

CI/CD Pipeline

Set up CI/CD pipelines using GitLab, deploying services on AWS EKS (Kubernetes) with automated testing and rollback.

Monitoring & Observability

Implemented monitoring using Prometheus + Grafana, and centralized logging via the ELK Stack.