Alexandre Ribeiro

DevOps Engineer at Skie.io

Alexandre Ribeiro has a diverse work experience spanning across multiple companies and roles. Alexandre started their career at Nova Romacar Automóveis as an Office Administrator in 2005. Alexandre then transitioned to Blocktime Tecnologia in 2007, where they worked as a Support Analyst until 2010. From there, they joined Unicorp International as an IT Manager until 2011 before moving on to TIVIT as a Senior Support Analyst until 2012. In 2012, Alexandre joined Locaweb as a Windows System Specialist and continued in the same role until 2014. During their time at Locaweb, they also worked as an English Student at Delfin English Language School. In 2014, Alexandre returned to Locaweb as a Windows System Specialist and stayed with the company until 2016. In the same year, they worked as a Self Employed IT System Consultant before joining Velocity Technology Solutions as a Technical Systems Engineer - Senior. Currently, they are employed at Skie.io as a DevOps Engineer since 2023. Alexandre's experience includes responsibilities such as setting up Windows servers, providing support, managing IT systems, and working as a consultant.

Alexandre Ribeiro completed their Bachelor's degree in Business Administration and Management from FEI from 1998 to 2001. In 2014, they attended the Delfin English Language School of Dublin to obtain an Upper Intermediate level in English Language and Literature. Additionally, Alexandre obtained a certification in Amazon Web Services Solutions Architect Associate from Amazon Web Services (AWS) in September 2019 and a Microsoft Certified: Azure Fundamentals certification from Microsoft in May 2023.

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Skie.io

Skie.io is a SaaS-based public cloud platform designed for organizations that have decided to adopt public cloud as their platform of choice. With Skie.io, an organization can deploy its IT assets on the cloud in the most optimal, cost efficient way and keep it that way. Skie.io can be deployed from the initial public cloud assessment to the on-going automated optimization of public cloud resources. Our AI, machine learning based optimization algorithms can lead to as much as 50% cost reduction of public cloud resources. We are so certain that there would be significant savings that we get paid only if an organization experiences actual cost reduction.


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