Daniel Rico Hernández
About Daniel Rico Hernández
Daniel Rico Hernández is a Site Reliability Engineer with extensive experience in automation and cloud infrastructure management. He has held various roles in technology companies, including positions as Back-end Development Manager and DevOps Engineer, and is currently employed at Redpanda Data since 2021.
Current Role at Redpanda Data
Daniel Rico Hernández serves as a Site Reliability Engineer at Redpanda Data since 2021. In this role, he focuses on maintaining system reliability and performance, ensuring that services are available and efficient. His responsibilities include monitoring system health, troubleshooting issues, and implementing automation solutions to enhance operational efficiency.
Previous Experience in Software Development and Engineering
Before joining Redpanda Data, Daniel held various positions in software development and engineering. He worked at MO Technologies as a Back-end Development Manager from 2018 to 2020, where he managed back-end development projects. Prior to that, he served as a DevOps Engineer at Prediktive from 2020 to 2021, and as a Senior Developer at MO Technologies from 2017 to 2018. His early career included a role as Technological Innovation Director at OOH Redes Digitales Ltda in 2015 and as a Software Development Engineer at Symplifica in 2016.
Education and Technical Skills
Daniel studied at Pontifical Xavierian University, where he earned an Engineer's degree in Systems Engineering from 2010 to 2015. He possesses strong technical skills in automation and configuration management tools, including Terraform and Ansible. Additionally, he is proficient in workflow automation using Apache Airflow and has experience orchestrating containerized applications with Kubernetes (K8S). His expertise extends to managing cloud infrastructure using AWS and GCP, along with scripting capabilities in Python and Shell Scripting.
Expertise in Automation and Cloud Infrastructure
Daniel has developed a strong expertise in automation and cloud infrastructure management throughout his career. He is skilled in using Terraform and Ansible for configuration management and automation tasks. His experience with cloud platforms such as AWS and GCP enables him to effectively manage and optimize cloud resources. Additionally, his proficiency in Kubernetes allows him to orchestrate containerized applications, contributing to efficient deployment and scaling of services.