Gabriel Miranda

Gabriel Miranda

Dev Ops Engineer @ BairesDev

About Gabriel Miranda

Gabriel Miranda is a DevOps Engineer with over 10 years of experience in various technologies, including Linux, Docker, and AWS. He has worked for several companies in Brazil, including MOSS.Earth and Vindi, and currently works at BairesDev.

Work at BairesDev

Gabriel Miranda has been employed at BairesDev as a DevOps Engineer since 2021. In this role, he applies his extensive experience in cloud computing and infrastructure management to support development teams. His responsibilities include implementing best practices and ensuring the efficient deployment of applications.

Previous Experience in DevOps

Before joining BairesDev, Gabriel worked in various roles related to DevOps. He served as a DevOps Engineer at Vindi from 2018 to 2020 and at Tray Plataforma de E-commerce from 2017 to 2018. He also held a position as a DevOps Consultant at MOSS.Earth for five months in 2021 and worked as a DevOps Engineer at MOSS.Earth for nine months from 2020 to 2021.

Education and Expertise

Gabriel Miranda earned a Bachelor's Degree in Network of Computer Technologist from Faculdade de Tecnologia de Curitiba, completing his studies from 2013 to 2016. He possesses over 10 years of experience in technologies such as Linux, Docker, Kubernetes, AWS, Google Cloud, Ansible, and Saltstack. His expertise includes observability and security within cloud environments.

Background in IT Support

Gabriel began his career in IT support, working as an IT System Administrator at CentralServer - Cloud Computing from 2011 to 2013. He also served as an Infrastructure Analyst at CrossKnowledge from 2013 to 2016. These roles provided him with a solid foundation in IT systems and support, contributing to his skills in DevOps.

Professional Goals

Gabriel aims to assist companies in their digital transformation journeys and help them achieve their business objectives. He enjoys collaborating with developers and implementing best practices to enhance operational efficiency and application performance.

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