José Arimateia F.

With over 4 years of experience in the IT market and a solid track record as a researcher in combinatorial optimization, I believe that my technical background, combined with my practical experience, makes me an ideal candidate to join the team. During my career, I have had the opportunity to lead projects that resulted in scalable and efficient technological solutions, such as the development of microservices in Kotlin and Spring Boot to monitor infrastructure cost metrics, in addition to the creation of scripts in Python to optimize data retention policies in Oracle databases. In my current role as DevOps SRE at Descartes System Group, I worked implementing tools that ensured high availability of services and significant reduction in operational costs. I have a degree in Computer Science from the Federal University of Ceará (UFC), where I also participated in the NEMO research group, focused on machine learning and optimization. This academic experience has given me advanced skills in linear programming, data analysis and algorithm development, which have been directly applied in the solutions I have implemented in the market. In addition, I have experience with a wide range of technologies, including Java, Python, Kafka, AWS, Terraform, MongoDB and monitoring tools such as Grafana and Prometheus. I am also fluent in English and Spanish (B2 level), which facilitates communication in global environments. I am passionate about solving complex problems and believe in the strategic application of technology to generate positive impact on business. Github: [login to view URL] LinkedIn: [login to view URL]