Rust Engineer - Trading Systems
Listed on 2026-07-19
-
Software Development
DevOps, Python, Unix/Linux, Backend Developer
Rust Engineer - Trading Systems About Keyrock
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high‑frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
Mission statementWe 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
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 riskStrong 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
, Web Socket
), exchange connectivity, and market data feedsSolid 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 automationAbility to make sound architectural decisions, articulate trade‑offs clearly, and guide…
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