Keyrock
Senior Rust Engineer - Trading Systems
3 нед. назад
Страна неизвестнаSeniorRemote
rusttokioawslinuxpythonfixrestwebsocket
Keyrock, a leading digital-asset market maker since 2017, is seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join their core Capital Markets division.
About the company
- Since 2017, Keyrock has grown into a leading digital-asset market maker, trading on more than 80 exchanges and pioneering the use of Rust in algorithmic trading across market making, options, HFT, OTC and DeFi desks.
Responsibilities
- Design, develop, and optimise low-latency, mission-critical trading systems
- Own key trading stack components end-to-end — from architecture through to production operation
- Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience
- Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence
- Troubleshoot complex production issues across exchange connectivity, execution, and market data handling
- Drive engineering standards through technical leadership, code reviews, and mentoring
- Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling
- Contribute to functional, component, and production-readiness testing for critical trading components
Requirements
- Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage
- Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk
- Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting
- Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling
- Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds
- Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK)
- Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation