Software Engineer (C++/Rust)

DatabentoBoston, MA
Remote

About The Position

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the next generation market data provider — with the radical idea that you should only pay for the data that you use. We power the world's largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4,000 users during our first year of launch. Our team brings former experience at the world's leading quantitative firms, including Two Sigma, Flow Traders, Tower Research, PDT Partners, SIG, and more. We're looking for a midlevel or senior IC to join our core engineering team. Our team is responsible for all things C/C++ and Rust, and the most performance-sensitive parts of our codebase. You'll be working with nearly 20 PB of data, with thousands of bare metal CPU cores at your disposal.

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.

Nice To Haves

  • An interest in low-level optimization and performance engineering.
  • An interest in financial data or algorithmic trading.

Responsibilities

  • 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.
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