Software Engineer, C++, Rust

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Databento

11 - 50 employees

Founded 2019

💸 Finance

💳 Fintech

🔌 API

💰 $24.3M Series A on 2021-11

Finance • Fintech • API

Databento is a company that provides comprehensive market data solutions through APIs for both real-time and historical data. Founded in 2018, it delivers normalized data from a wide array of asset classes including futures, options, and equities, sourced directly from colocation sites to ensure low latency and high reliability. Databento offers a simplified and efficient way to access market data, with customizable pricing models and extensive support for developers. Their services include live data streaming, historical data retrieval, and detailed insights into corporate actions. The platform caters to over 3,000 leading firms and startups, utilizing advanced technology to offer solutions such as full exchange order book replay and seamless integration with programming languages like Python and C++.

📋 Description

• Design, develop, and maintain high-performance server applications in C/C++ and Rust. • Write message parsers and feed handlers for direct market data feeds from trading venues. • Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds). • Implement tools and libraries for petabyte-scale data processing and analysis. • Collaborate with the systems team to implement best practices for build, deployment, CI/CD. • Implement monitoring and improve application uptime. • Ensure smooth feature rollouts and updates.

🎯 Requirements

• 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. • Strong proficiency in C/C++ or Rust. • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. • Experience working with multiprocess environments. • Comfortable with lldb/gdb. • Good communication skills and work ethic for a remote workplace. • An interest in low-level optimization and performance engineering. • An interest in financial data or algorithmic trading.

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