Production Engineering When Trading Billions of Dollars a Day
What's it like to monitor and operate software that trades billions of dollars a day on stock markets around the world? When your software has near-unlimited access to your bank account, every single message counts. Speedy alerting and incident response have a direct and measurable impact on the P&L. In this talk, Mark Doss, a production engineer at Jane Street, explores the day-to-day technical operations of a trading firm, with a heavy focus on what happens when things go wrong. He covers the unique features of the trading environment that make production engineering especially high-stakes, how Jane Street approaches monitoring and alerting (and why traditional SLO-based approaches often fall short), the role of defense in depth and cross-team communication, and walks through a realistic sample incident to make it all concrete. 00:00 Video starts 00:05 About Mark Doss 00:27 Intro and Talk Outline 05:29 Features of the production environment 17:07 What it means for Production Engineering at Jane Street 37:22 Sample Incident 49:26 Summary of Production Engineering at Jane Street 51:17 Q+A

A Jane Street Software Engineering Mock Interview with Grace and Nolen

Bryan Cantrill: Andreessen’s Folly - The False Dichotomy of Software and Hardware

Option Pricing Explained | No Arbitrage + Financial Mathematics from a Quant

Jane Street on GPUs, Trading, and Hiring: A Conversation with Dwarkesh

Charlie Marsh: uv: An Extremely Fast Python Package Manager

How Jane Street Made $4.3 Billion in India—Then Got Banned!

A Jane Street Trading Mock Interview with Graham and Andrea

Did Jane Street Rig the Market To Make Billions?

Making GPUs Actually Fast: A Deep Dive into Training Performance

Matt Godbolt: Advanced Skylake Deep Dive

Charles Harris On How To Handle Concentrated Positions With Conviction | Investing With IBD

How Quant Firms Took Over the Market, Ex-Jane Street Trader Explains

Software engineering at the tipping point

How to Build an Exchange

Will Crichton: Rust for Everyone!

Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

Dwarkesh Goes Inside Jane Street's Latest AI Data Center

I Re-Created A Quant Trading Strategy With Claude Code (Insanely Cool)

Is Trading Luck or Skill? Quant Debunks Trading Gurus with Math

