Tristero

Tristero

Backend Engineer

Remote, USA

Sponsorship not specified$100k-$160kDetected 340 days ago
TypeScriptPythonGoRustDistributed SystemsData StructuresAlgorithmsRedisAPI DevelopmentWebSockets

About the role

  • Sophisticated actors systematically front-run all trades (MEV, stat arb), resulting in most high-value trading activity remaining within centralized exchanges that share all the downsides of the system crypto was meant to replace.
  • Work on data structures for real-time order books.
  • Cross-Chain Liquidity Orchestration Contribute to adaptive pathfinding algorithms that route across 15+ EVM chains, Solana, and centralized venues.

Compensation

  • Sophisticated actors systematically front-run all trades (MEV, stat arb), resulting in most high-value trading activity remaining within centralized exchanges that share all the downsides of the system crypto was meant to replace.
  • At Tristero, we're building the world's first performant decentralized darkpool, where trades are private until they clear, and you maintain full autonomy through the entire trade cycle.
  • We're looking for a backend engineer ready to work on high-performance, low-latency systems in a distributed, multi-chain environment.
  • You'll take ownership of substantial components, contribute to production-critical features, and push for performance, reliability, and scalability-while collaborating with senior engineers on architecture and design.
  • What you'll work on High-Performance Matching Engine & Zero-Knowledge Privacy Implement and optimize order matching algorithms with tight latency budgets (<500ms match, <100ms quote gen).
  • Work on data structures for real-time order books.

Benefits

  • $100k - $160k USD base, 0.2-0.5% equity Today, if you're trading onchain, you're broadcasting your trades to the world before they happen.
  • We've got unlimited PTO, a full suite of healthcare options, and some swag with your name on it.

This listing is sourced directly from Tristero's careers page and normalized into a canonical job model.