Jack Amadeo

Designed and managed scalable AWS infrastructure using Terraform to provision production environments for microservices. Built CI/CD pipelines in GitHub Actions to standardize build, test, and deployment workflows for microservices on EKS. Implemented secure AWS infrastructure patterns for payment processing services to support financial compliance. Automated multi-region provisioning and configuration management with Python and Ansible to reduce manual deployment effort. Containerized legacy payment modules using Docker to improve release velocity for critical security patches. Managed Kubernetes (AKS/EKS) including ingress controllers, network policies, and resource quotas for high availability. Led migration of core microservices from AKS to EKS to unify orchestration patterns and improve service availability. Developed modular Bash scripts for maintenance and log aggregation workflows to improve operational visibility and incident response.

Built automated deployment workflows in GitHub Actions for delivering containerized applications to Azure Kubernetes Service. Developed Python scripts to automate routine maintenance tasks including log rotation, service health checks, and database backup verification across cloud regions. Configured Kubernetes ingress and load balancing rules to optimize traffic distribution and service discovery for internal microservices. Transitioned local development environments to remote containerized setups using Docker. Troubleshot production performance issues by analyzing distributed traces and logs and resolving memory leaks in core services during high-load periods. Hardened container images using multi-stage builds and vulnerability scanning to reduce attack surface in production deployments.

Implemented Kafka message brokers for high-volume event streaming between urban data services. Built FastAPI endpoints for secure internal administrative tools to query city-wide sensor data and manage configurations. Collaborated with infrastructure teams to define deployment requirements to ensure new services were correctly configured for containerized execution environments. Maintained API documentation and service contracts to support cross-team integration. Migrated legacy monolithic data processing components into modular Node.js services to improve maintainability and deployment independence. Optimized database queries and introduced caching layers to resolve production pipeline bottlenecks and reduce latency for end-user applications.