Leonardo Rodriguez

Dev Ops Engineer @ BairesDev

About Leonardo Rodriguez

Leonardo Rodriguez is a DevOps Engineer with extensive experience in IT management and cloud infrastructure. He has worked at various companies, including BairesDev and SiriusXM, and has a background in Telecommunications Engineering.

Work at BairesDev

Leonardo Rodriguez has been employed at BairesDev as a DevOps Engineer since 2020. In this role, he focuses on optimizing cloud infrastructure and enhancing deployment processes. His responsibilities include monitoring system performance and reliability, as well as implementing automation tools to streamline operations.

Previous Experience in IT

Prior to his current position, Rodriguez worked in various IT roles. He served as an IT Specialist at VoiceTeam from 2010 to 2012, and later as an IT Manager at Ecco Outsourcing Group from 2012 to 2015. He also held the position of Director of Information Communication Technology at Acquire BPO from 2015 to 2020. Additionally, he worked as a teacher at ITLA from 2012 to 2015.

Education and Expertise

Rodriguez earned an Engineer’s Degree in Telecommunications Engineering from Pontificia Universidad Católica Madre y Maestra, completing his studies from 2006 to 2011. His educational background provides a strong foundation for his expertise in cloud infrastructure and DevOps practices.

Cloud Infrastructure Management

Rodriguez has extensive experience in managing cloud infrastructure. He monitors AWS cloud services using Amazon CloudWatch and has migrated on-premise infrastructure to the AWS cloud platform utilizing Amazon VPC. He has also deployed AWS IAM users, policies, and RDS Clusters using Terraform.

Automation and Deployment Strategies

In his roles, Rodriguez has implemented various automation strategies to enhance operational efficiency. He established automated IT maintenance tasks with Ansible and utilized AWS Lambda for automating EC2 instances and operational schedules. Additionally, he transitioned Docker containers to an Amazon ECR cluster to improve deployment efficiency.

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