Summary
Neal Charbonneau is a Staff Software Engineer with 15 years of experience designing and operating large-scale distributed storage and reliability systems, now driving work at Datadog after a long tenure at AWS. He helped build and optimize Amazon EFS’s data plane—spanning client proxies, NFS, distributed indexing, journaling, caching, and low-level RPC—and introduced formal methods like TLA+ and deterministic simulation to improve performance and correctness. Neal combines deep hands-on engineering with technical leadership, owning roadmaps, on-call escalation, and operational runbooks across multi-year projects. Based in Massachusetts, he pairs an academic foundation (M.S. Computer Science) with practical production experience and a knack for turning complex distributed protocols into reliable, observable services. An operator at heart, he’s comfortable carrying the pager and resolving high-severity incidents while shaping long-term system strategy.
15 years of coding experience
16 years of employment as a software developer
M.S Computer Science, M.S Computer Science at University of Massachusetts Dartmouth