Rust Engineer – Trading Systems

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Logo of Keyrock

Keyrock

51 - 200 employees

Founded 2017

💸 Finance

💳 Fintech

₿ Crypto

💰 $72M Series B on 2022-11

Finance • Fintech • Crypto

Keyrock is a leading financial services company specializing in digital asset markets and liquidity solutions. Established in 2017, Keyrock provides market making, OTC trading, options desk services, treasury solutions, and liquidity pool management, tailored for a tokenized world. The company operates across centralized and decentralized platforms with a focus on enhancing and optimizing liquidity through advanced algorithms, ensuring competitive pricing and effective asset management. Keyrock partners with institutions and foundations, supporting them in a rapidly evolving digital economy. With a global reach, the company is based in the EU, UK, and Switzerland and employs over 170 experts worldwide, dedicated to driving success in the digital asset industry.

📋 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

🎯 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 • Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems

🏖️ Benefits

• A competitive salary package • Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely • The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

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