Summary
Damien Cupif is a Lead Site Reliability Engineer based in Paris with a decade of experience building data-driven, reliable systems across finance and data startups. He combines deep hands-on skills in Python and Golang with cloud expertise on AWS and GCP, and a strong background in streaming, databases and infra-as-code (Kafka, PostgreSQL, DynamoDB, Terraform). At Qonto he progressed from Staff to Lead SRE, applying observability and resilience engineering at scale using Datadog and Sentry. His earlier roles as data and lead data engineer reflect a solid foundation in analytics and pipeline design, while degrees in cybersecurity and computer engineering plus Coursera deep learning coursework signal a rare mix of operational rigor and ML literacy. Colleagues know him for translating complex reliability requirements into pragmatic, automatable solutions that keep production systems both fast and safe.
10 years of coding experience
7 years of employment as a software developer
Deep Learning Specialization Certification by deeplearning.ai, Artificial Intelligence, Deep Learning Specialization Certification by deeplearning.ai, Artificial Intelligence at Coursera
Master of Science Cybersecurity, Cybersecurity, Master of Science Cybersecurity, Cybersecurity at Ecole Nationale Supérieure des Mines de Nancy
Master's degree in Computer Science, Computer Engineering, Master's degree in Computer Science, Computer Engineering at TELECOM Nancy
Higher school preparatory classes, MPSI/MP, Mathematics, Computer Science, Physics, Higher school preparatory classes, MPSI/MP, Mathematics, Computer Science, Physics at Lycée Carnot, Dijon, France
French, anglais (toeic 930/990), Spanish, Chinese