Agustin Aguilera Conti

At Avature, I build and operate AWS and Kubernetes infrastructure supporting AI-driven backend services in production. I apply DevOps and SRE practices to keep Linux-based systems reliable, resilient, and scalable.

Previously on Avature's Cloud Operations Team, I managed and monitored AWS and Linux production environments, automated operations with Terraform, Puppet, Bash, and Python, and resolved critical incidents through on-call ownership. I also designed an alert analysis and optimization framework that reduced unnecessary on-call noise.

I've led complex initiatives involving S3 data location, bucket housekeeping, node reboot strategies, and alerting improvements, while documenting procedures and aligning stakeholders. I enjoy reducing manual toil through automation, internal tooling, and clearer operational processes.

During my machine learning infrastructure internship at Universidad Nacional de Río Cuarto, I deployed Kubernetes and Kubeflow to centralize compute for data science projects. I bring a Telecommunications Engineering background, strong cross-team communication, and a practical focus on stable, production-ready infrastructure.