Summary
Carlos 顾宁 is a Staff SRE and Observability Engineer with nine years of experience building large-scale monitoring and onboarding systems for financial institutions. Based in São Paulo, he architected Datadog SaaS onboarding for over 20k engineers and automated cross-cloud credentialing across ~9k AWS accounts, combining deep cloud, RBAC and automation skills. He has led data-platform observability work that processes terabytes of CloudTrail daily, built single-pane monitoring with Thanos and OpenTelemetry, and operates an EKS proxy handling 20k requests/sec using OpenResty and Lua. Carlos blends hands-on engineering with leadership—running workshops, advocating observability practices, and shipping blueprints that accelerate dozens of squads. Beyond production systems, he has a strong background in capacity planning, HPC provisioning and frontend tooling, and holds a Master’s in Computer Engineering from Escola Politécnica da USP. He also teaches practitioners through a Datadog for AWS course, reflecting a knack for turning complex operational problems into repeatable playbooks.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Information Systems, Bachelor's degree Computer Information Systems at USP - Universidade de São Paulo
Master's degree Computer Engineering, Master's degree Computer Engineering at Escola Politécnica da USP
Portuguese, English, Chinese