A Singapore-based proprietary trading firm and market maker is hiring a
Trading Systems Engineer
to build and scale the 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. Your work will sit directly on the critical path of the business, influencing execution speed, system stability and trading performance.
The firm operates with a lean, highly technical team and is building an AI-native engineering environment. Engineers are encouraged to challenge established approaches, take ownership of complex problems and help shape how trading systems are designed and maintained.
The role You will design, develop and operate high-performance systems covering:
Trade execution and order management
Exchange and broker connectivity
Pricing, risk and smart order-routing systems
Performance-critical trading infrastructure
Monitoring, debugging and operational tooling
You will also help define how AI agents are used in the engineering process, including:
Deciding which development tasks agents can own
Establishing where human review is required
Building evaluation, telemetry and feedback loops
Improving test coverage, delivery speed and engineering quality
Developing safeguards for code running on live trading systems
What we are looking for
Strong experience building and maintaining low-latency systems for algorithmic or high-frequency trading
Hands-on experience with trading architecture, including execution, market data, order management, connectivity, pricing or risk
Experience with performance tuning, profiling, monitoring and debugging
Professional experience with C++, Rust, Java or similar systems programming languages
Experience working directly with traders, quantitative researchers or trading desks
A strong understanding of how trading strategies operate in production and generate or lose money
Genuine experience using AI agents beyond autocomplete, such as Claude Code, OpenAI Codex or Cursor
Sound judgement around reliability, risk and the limits of AI-generated code
A willingness to own problems end to end and work across traditional team boundaries
Previous experience in digital-asset markets is not required.
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Trading Systems Engineer - $350k Base in Amsterdam werkgever: Stealth Startup
Als Lead Platform Engineer bij ons bedrijf krijg je de kans om te werken aan een baanbrekend AI-platform dat organisaties helpt betere beslissingen te nemen. We bieden een stimulerende werkomgeving met een sterke focus op samenwerking en innovatie, waar je niet alleen je technische vaardigheden kunt ontwikkelen, maar ook invloed kunt uitoefenen op de richting van onze technologie. Met een team van meer dan 40 engineers en AI-specialisten in een dynamische sector, bieden we uitstekende groeimogelijkheden en een cultuur die waarde hecht aan veiligheid, privacy en teamwork.
