Summary
Jamie Alquiza is a Senior Staff Engineer with 11 years designing and operating petabyte-scale distributed systems, currently leading infrastructure and data platform efforts at Datadog. He specializes in time-series routing, large-scale Kafka operability, auto-scaling, and datastore performance, and authored/open-sourced tooling (Kafka-Kit) used to manage partitioning and replication at extreme scale. Jamie’s work spans hands-on systems engineering to architectural leadership—building Kafka auto-scaling, secrets storage, and operational tooling that enable double-digit petabyte deployments. Based in the Detroit area, he brings deep production reliability experience from roles at Mandiant and Nexcess and a pragmatic systems-first approach to complex operational problems. An interesting detail: he blends modern cloud-scale engineering with a hacker curiosity (his GitHub quips about “runs ms-dos”), reflecting a long-term tinkerer mentality beneath enterprise-grade delivery.
11 years of coding experience
10 years of employment as a software developer