Rust Engineer - Trading Systems

Embedded Shishya; Deutschland; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Keyrock is seeking an exceptional systems engineer to design, develop, and optimise low-latency trading systems. You will own critical components end-to-end, from architecture through production operations, collaborating with quants, traders and engineers to improve performance and resilience.

We expect strong Rust skills, deep understanding of market data, order execution, and networking, plus AWS/Linux expertise.

Qualifikationen

• Rust expertise for high-performance, concurrent systems (Tokio preferred).
• Experience in systematic trading environments (HFT/quant trading).
• Strong AWS and Linux; latency-aware cloud infra decisions.
• Shell scripting, debugging and production troubleshooting.
• Python or scripting languages for automation and tooling.

Aufgaben

• Own key trading stack components end-to-end from architecture to production.
• Collaborate with quants, traders and engineers to deliver performance improvements.
• Maintain trading infrastructure with focus on performance, stability, observability.
• Troubleshoot production issues across exchange connectivity, execution, data feeds.
• Lead engineering standards through technical leadership and code reviews.
• Leverage AI-assisted workflows and automate operational tasks.
• Contribute to testing and production-readiness of critical components.

Kenntnisse

Rust

High-performance systems

HFT/quant trading exp

AWS

Linux

Shell scripting

Python

Networking latency

Agentic tooling awareness

Jobbeschreibung

Overview

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.

Responsibilities

• Own key trading stack components end‑to‑end, from architecture through to production operation.
• Collaborate closely with quants, traders, and engineers to deliver performance‑improving solutions.
• Maintain and evolve trading infrastructure, focusing 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.
• Leverage AI‑assisted workflows, automate operational tasks, and evolve 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 highly desirable.
• Hands‑on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar) with a 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 skills.
• 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.