Rust Engineer (Trading Platform)
⚲ Amsterdam (relocation possible)/Remote
About the Role
As a Rust Engineer, you will develop and improve the core infrastructure behind our live trading systems, ensuring reliable execution, accurate position tracking, and predictable behavior under real-world market conditions.
You will work on a production trading platform built in Rust. The platform currently supports crypto spot and perpetual markets, with plans to expand into traditional financial markets.
Your focus will be on correctness under partial failures, execution reliability, tail latency, and automated recovery. You will also help connect live trading with our AI-driven research platform, making execution data, risk controls, and system behavior accessible to autonomous agents.
This is a hands-on engineering role with significant ownership over production-critical components.
You will work on
Build and improve core trading infrastructure in Rust, focusing on reliability, determinism, and predictable performance.
Develop reconciliation mechanisms for orders, fills, and positions across multiple exchanges, ensuring consistency after crashes, reconnects, and partial failures.
Build and maintain exchange connectors for crypto spot and perpetual markets, with extensible abstractions for traditional markets.
Implement pre-trade risk checks, exposure controls, and kill-switches directly in the execution path.
Optimize tail latency, jitter, queueing, and backpressure to maintain predictable execution under load.
Develop execution quality monitoring, including slippage and latency attribution, to identify deviations between backtested and live trading results.
Improve production observability, incident detection, and automated recovery mechanisms.
Design deterministic, machine-readable interfaces and programmatic controls that enable AI agents to safely interact with trading infrastructure.
Collaborate with research and engineering teams to connect strategy deployment, execution, and live performance feedback.
About the Team
We are building a research lab first — and a proprietary investment fund around it. The core belief is that long-term trading edge comes from a systematic ability to generate, test, and compound research insights faster and more rigorously than the market.
The goal is to remove legacy constraints and rethink financial market forecasting using modern systems, new hardware paradigms, and frontier AI. The goal is to tightly integrate execution, research, and infrastructure into a single coherent system.
You might thrive in this role if you have
Strong hands-on experience with Rust and a deep understanding of ownership, lifetimes, memory management, async runtimes, and concurrency.
Experience building and operating production-critical systems where correctness, reliability, and availability are essential.
Experience designing fault-tolerant systems, including state reconciliation, idempotency, and recovery from partial failures.
Strong understanding of event-driven architectures, deterministic execution, and asynchronous I/O.
Experience optimizing tail latency, managing backpressure, and ensuring predictable system behavior under load.
Ability to investigate complex production incidents, identify root causes, and implement lasting improvements.
Strong system design skills and the ability to make pragmatic architectural and build-vs-buy decisions.
Experience with trading systems, exchange connectivity, order management, or financial infrastructure is a plus.
Familiarity with Nautilus, Kafka, PostgreSQL, ClickHouse, or event sourcing is a plus.
Interest in AI-driven automation, quantitative research, or financial markets is a plus.
Rust Engineer (Trading Platform)
⚲ Amsterdam (relocation possible)/Remote
About the Role
As a Rust Engineer, you will develop and improve the core infrastructure behind our live trading systems, ensuring reliable execution, accurate position tracking, and predictable behavior under real-world market conditions.
You will work on a production trading platform built in Rust. The platform currently supports crypto spot and perpetual markets, with plans to expand into traditional financial markets.
Your focus will be on correctness under partial failures, execution reliability, tail latency, and automated recovery. You will also help connect live trading with our AI-driven research platform, making execution data, risk controls, and system behavior accessible to autonomous agents.
This is a hands-on engineering role with significant ownership over production-critical components.
You will work on
Build and improve core trading infrastructure in Rust, focusing on reliability, determinism, and predictable performance.
Develop reconciliation mechanisms for orders, fills, and positions across multiple exchanges, ensuring consistency after crashes, reconnects, and partial failures.
Build and maintain exchange connectors for crypto spot and perpetual markets, with extensible abstractions for traditional markets.
Implement pre-trade risk checks, exposure controls, and kill-switches directly in the execution path.
Optimize tail latency, jitter, queueing, and backpressure to maintain predictable execution under load.
Develop execution quality monitoring, including slippage and latency attribution, to identify deviations between backtested and live trading results.
Improve production observability, incident detection, and automated recovery mechanisms.
Design deterministic, machine-readable interfaces and programmatic controls that enable AI agents to safely interact with trading infrastructure.
Collaborate with research and engineering teams to connect strategy deployment, execution, and live performance feedback.
About the Team
We are building a research lab first — and a proprietary investment fund around it. The core belief is that long-term trading edge comes from a systematic ability to generate, test, and compound research insights faster and more rigorously than the market.
The goal is to remove legacy constraints and rethink financial market forecasting using modern systems, new hardware paradigms, and frontier AI. The goal is to tightly integrate execution, research, and infrastructure into a single coherent system.
You might thrive in this role if you have
Strong hands-on experience with Rust and a deep understanding of ownership, lifetimes, memory management, async runtimes, and concurrency.
Experience building and operating production-critical systems where correctness, reliability, and availability are essential.
Experience designing fault-tolerant systems, including state reconciliation, idempotency, and recovery from partial failures.
Strong understanding of event-driven architectures, deterministic execution, and asynchronous I/O.
Experience optimizing tail latency, managing backpressure, and ensuring predictable system behavior under load.
Ability to investigate complex production incidents, identify root causes, and implement lasting improvements.
Strong system design skills and the ability to make pragmatic architectural and build-vs-buy decisions.
Experience with trading systems, exchange connectivity, order management, or financial infrastructure is a plus.
Familiarity with Nautilus, Kafka, PostgreSQL, ClickHouse, or event sourcing is a plus.
Interest in AI-driven automation, quantitative research, or financial markets is a plus.
Rust Engineer (Trading Platform)
⚲ Amsterdam (relocation possible)/Remote
About the Role
As a Rust Engineer, you will develop and improve the core infrastructure behind our live trading systems, ensuring reliable execution, accurate position tracking, and predictable behavior under real-world market conditions.
You will work on a production trading platform built in Rust. The platform currently supports crypto spot and perpetual markets, with plans to expand into traditional financial markets.
Your focus will be on correctness under partial failures, execution reliability, tail latency, and automated recovery. You will also help connect live trading with our AI-driven research platform, making execution data, risk controls, and system behavior accessible to autonomous agents.
This is a hands-on engineering role with significant ownership over production-critical components.
You will work on
Build and improve core trading infrastructure in Rust, focusing on reliability, determinism, and predictable performance.
Develop reconciliation mechanisms for orders, fills, and positions across multiple exchanges, ensuring consistency after crashes, reconnects, and partial failures.
Build and maintain exchange connectors for crypto spot and perpetual markets, with extensible abstractions for traditional markets.
Implement pre-trade risk checks, exposure controls, and kill-switches directly in the execution path.
Optimize tail latency, jitter, queueing, and backpressure to maintain predictable execution under load.
Develop execution quality monitoring, including slippage and latency attribution, to identify deviations between backtested and live trading results.
Improve production observability, incident detection, and automated recovery mechanisms.
Design deterministic, machine-readable interfaces and programmatic controls that enable AI agents to safely interact with trading infrastructure.
Collaborate with research and engineering teams to connect strategy deployment, execution, and live performance feedback.
About the Team
We are building a research lab first — and a proprietary investment fund around it. The core belief is that long-term trading edge comes from a systematic ability to generate, test, and compound research insights faster and more rigorously than the market.
The goal is to remove legacy constraints and rethink financial market forecasting using modern systems, new hardware paradigms, and frontier AI. The goal is to tightly integrate execution, research, and infrastructure into a single coherent system.
You might thrive in this role if you have
Strong hands-on experience with Rust and a deep understanding of ownership, lifetimes, memory management, async runtimes, and concurrency.
Experience building and operating production-critical systems where correctness, reliability, and availability are essential.
Experience designing fault-tolerant systems, including state reconciliation, idempotency, and recovery from partial failures.
Strong understanding of event-driven architectures, deterministic execution, and asynchronous I/O.
Experience optimizing tail latency, managing backpressure, and ensuring predictable system behavior under load.
Ability to investigate complex production incidents, identify root causes, and implement lasting improvements.
Strong system design skills and the ability to make pragmatic architectural and build-vs-buy decisions.
Experience with trading systems, exchange connectivity, order management, or financial infrastructure is a plus.
Familiarity with Nautilus, Kafka, PostgreSQL, ClickHouse, or event sourcing is a plus.
Interest in AI-driven automation, quantitative research, or financial markets is a plus.
