[Hiring] Senior Rust Engineer @Keyrock

Role Description

We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage.

As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones.

• 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

Qualifications

• 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

Requirements

• Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise.
• Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions.
• Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes.
• Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions.
• Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you.
• Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation.
• Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team.

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