Carlos Rubio is a Quantitative Analyst Researcher and software engineer with 10 years’ experience building backend systems, CI/CD pipelines, and cloud-native services from Madrid. He combines dual bachelor’s degrees in Computer Science (9.68/10) and Mathematics (9.57/10) from Universidad Complutense de Madrid, bringing rigorous problem-solving and strong algorithmic foundations to production engineering. At Twilio he worked as an SRE improving deployment reliability across microservices using Python, Java (Spring Boot), Buildkite, Terraform, Docker and AWS, and now applies quantitative research at Arfima Trading. Comfortable in distributed teams, he has a track record of shipping reliable infrastructure and observability (Datadog, Grafana) and contributing to collaborative engineering efforts like team programming contests and an 8-person videogame project. Outside work he volunteers to help digitally vulnerable people at Fundación Cibervoluntarios, reflecting a practical focus on tech accessibility. Colleagues value his blend of mathematical rigor, DevOps pragmatism, and experience translating research into production-ready systems.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mathematics, 9,57/10, Bachelor's degree, Mathematics, 9,57/10 at Universidad Complutense de Madrid
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