Lightning talks
summary
Company technical snapshot describing why to join: Clojure drives core services, data pipelines run on Spark and Redshift, storage on Postgres with Jetty HTTP endpoints, Guava and java.util.concurrent handle concurrency; an in‑house Chef replacement (Perl/Bash/Make) boots production fast. Engineering is flat and metrics‑driven, experiments must show the numbers. SLAs target 99.5th percentile under 30 ms and systems have hit ~40,000 req/s; overall goal is a real‑time personalization/recommendation engine for ~50 million users.
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