• Build and maintain software tools that manage sandboxed, containerized workloads (Docker, Kubernetes) in a multi-tenant environment. • Design and implement high-throughput, containerized services in Go. • Develop Terraform modules and CI/CD pipelines to automate deployment, verification, and monitoring. • Partner with Security and Platform Engineering to advance sandboxing, networking, and security best practices. • Work closely with client engineering and partner teams to plan, build, and launch integrations that meet technical requirements and business goals.

• Liderar la evolución de la plataforma hacia una arquitectura multi-región resiliente, de baja latencia y con conectividad global segura. • Garantizar la continuidad del negocio frente a fallos regionales y elevar los estándares técnicos que sustentan millones de transacciones diarias. • Diseñar e implementar estrategias de alta disponibilidad geográfica (Active-Active / Active-Passive) y Disaster Recovery (DR) entre múltiples regiones de AWS. • Orquestar la conectividad compleja de la organización utilizando Direct Connect, AWS Transit Gateway, VPC Peering y VPNs. • Liderar la migración de infraestructura legada hacia AWS CDK, asegurando que cada componente de la red y cómputo esté definido como código. • Gestión avanzada del ciclo de vida de instancias EC2 y configuración de Firewalls.

• Assist with day-to-day AWS operations • Help deploy Kubernetes workloads (deployments, services, ingress, namespace organization) • Perform basic troubleshooting across services and AWS resources • Document technical processes • Participate in review sessions

• Build and maintain highly available, scalable, and secure cloud infrastructure. • Develop automation frameworks that streamline deployments, monitoring, and performance optimization. • Implement and manage observability tools (metrics, logs, tracing) to ensure deep visibility into system behavior. • Improve reliability through capacity planning, chaos engineering, and failure-mode analysis. • Own CI/CD pipelines and ensure smooth, automated release processes. • Collaborate with backend, frontend, data, and product teams to define SLIs, SLOs, and error budgets. • Manage incident response, root cause analysis, and postmortems to prevent recurrence. • Optimize system performance and reduce operational costs through proactive engineering. • Enforce security best practices across infrastructure, deployments, and access management. • Reduce manual toil by building automation and self-healing systems.