Rust Engineer - Trading Systems
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Key skills for this role
About the Role
Keyrock seeks a Senior Rust Engineer with deep trading systems experience and AWS knowledge to design and optimize low-latency trading systems. The role involves owning key trading stack components and collaborating with quants and traders.
Key Skills for This Role
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)
- Strong AWS and Linux expertise, including cloud infrastructure trade offs for latency sensitive workloads
- 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
- Ability to make sound architectural decisions, articulate trade offs clearly, and guide implementation across complex systems
Full Job Posting
About Keyrock
- Since 2017, Keyrock has grown to be a leading change maker in the digital asset space, renowned for partnerships and innovation.
- We trade on more than 80 exchanges, working with a wide array of asset issuers.
- Our services span market making, options trading, high frequency trading, OTC, and DeFi trading desks.
Mission statement
- We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division.
- As part of the engineering team, you will take ownership of high impact trading infrastructure, set technical direction, and drive continuous improvement.
Job description
- 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.
Technical Skills
- 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).
- Strong AWS and Linux expertise, including cloud infrastructure trade offs for latency sensitive workloads.
- 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.
- Ability to make sound architectural decisions, articulate trade offs clearly, and guide implementation across complex systems.
Seniority & Competencies
- Ownership & Reliability – Take full responsibility for your work. Deliver high quality service, meet deadlines, and follow through on commitments.
- Initiative & Problem Solving – Approach challenges with a problem solving entrepreneurial mindset.
- Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading.
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