Low-Latency Trading Systems Engineer — AI-Driven

Stealth Startup; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

Stealth Startup is hiring a Trading Systems Engineer to build and scale ultra-low-latency systems behind its trading across digital assets, tokenised real-world assets and traditional markets. You will work closely with quantitative traders and researchers to turn trading ideas into reliable production systems.

The role sits at the core of execution speed, system stability and trading performance, with an AI-native engineering environment.

Qualifications

• Experience building and maintaining low-latency systems for algo or high-frequency trading.
• Hands-on experience with trading architecture: execution, market data, OMS, connectivity, pricing or risk.
• Experience with performance tuning, profiling, monitoring and debugging.
• Proficient in C++, Rust or Java; systems programming languages.
• Experience working directly with traders, researchers or trading desks.
• Genuine experience using AI agents beyond autocomplete (e.g., Claude Code, Codex).
• Understanding production trading strategies and their PnL impact.
• Willingness to own problems end to end across teams.

Responsibilities

• Design, develop and operate high-performance trading systems.
• Cover trade execution and order management, connectivity, pricing and risk components.
• Build and maintain performance-critical trading infrastructure and tooling.
• Develop AI-assisted engineering processes: evaluation, telemetry, feedback loops and safeguards.

Skills

Low latency

Trading architecture

C++

Rust

Java

AI agents

Trader collaboration

Trading strategies

Job description

Stealth Startup is hiring a Trading Systems Engineer to build and scale ultra-low-latency systems behind its trading across digital assets, tokenised real-world assets and traditional markets. You will work closely with quantitative traders and researchers to turn trading ideas into reliable production systems.

The role sits at the core of execution speed, system stability and trading performance, with an AI-native engineering environment.