Bruno Gonzalez
About Bruno Gonzalez
Bruno Gonzalez is a Staff Systems Engineer at Delivery Hero in Berlin, Germany, with extensive experience in cloud engineering and DevOps.
Current Role at Delivery Hero
Bruno Gonzalez is currently working as a Staff Systems Engineer at Delivery Hero in Berlin, Germany. He started this role in November 2022. In his current position, he is responsible for overseeing and improving system architecture, ensuring efficiency, and simplifying complex systems, aligning with his personal motto: 'Simplicity is the ultimate sophistication.'
Professional Experience at PedidosYa
Bruno Gonzalez has an extensive background at PedidosYa, where he held various roles. He started as an IT Support in 2016 for 2 months, then moved up to DevOps System Administrator from 2017 to 2019. He later transitioned to Cloud Engineer in 2019 for 6 months, then to Senior Cloud Engineer in 2020 for 3 months. He advanced to Principal Cloud Engineer & Cloud Manager, where he served from 2020 to 2022. During his tenure at PedidosYa, he gained extensive experience in cloud engineering and DevOps.
Educational Background
Bruno Gonzalez holds a Bachelor of Science in Computer Engineering from Universidad de la República. His academic background laid a solid foundation for his career in systems engineering and cloud technologies. The knowledge and skills gained from his education have been instrumental in his professional growth and expertise in simplifying complex systems.
Early Career Experience at Montevideo COMM
Before his tenure at PedidosYa, Bruno Gonzalez worked at Montevideo COMM as TodoPC from 2011 to 2014. This role provided him with valuable experience in IT support and system administration, setting the stage for his future roles in more specialized fields like cloud engineering and DevOps.
Focus on System Simplification
Bruno Gonzalez has a strong focus on simplifying complex systems, a principle that is evident in both his professional work and personal motto: 'Simplicity is the ultimate sophistication.' His approach aims to enhance system efficiency and reliability, making intricate processes more manageable and understandable.