Matthew Smillie is a seasoned software engineer with 15 years building and operating large-scale distributed systems, from cloud networking at Joyent to high-throughput job queues and profiling at Slack. He blends hands-on systems engineering and incident-analysis expertise with startup agility, having prototyped features and built infrastructure at early-stage Jeli and led incident-knowledge efforts at Treasure Data. Comfortable across kernel-to-cloud and front-end-to-backend concerns, he has a track record of modernizing databases, scaling production services, and diving into on-call firefights to stabilize critical systems. Trained in computer science and statistical NLP (MSc, Edinburgh), he’s also an enthusiastic tinkerer—equally at home soldering hardware as he is instrumenting software to make system behavior more observable and learnable.
15 years of coding experience
13 years of employment as a software developer
MSc, Informatics, Statistical NLP, MSc, Informatics, Statistical NLP at The University of Edinburgh
BSc (Honours), Computer Science, BSc (Honours), Computer Science at Queen's University
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