Key Skills

Job Description

Trading Systems Engineer Location: Singapore Employment type: Full-time Package: Base $ 300- 350k plus Package Relocation support: Available 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 Real-time market data 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 Strong low-level systems engineering skills 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.

Core Responsibilities

Design, build, and operate high-performance trading systems for execution, market data, connectivity, pricing, risk, and order routing. Help establish safe and effective use of AI agents in engineering, including task ownership, human review, evaluation, telemetry, testing, and safeguards for live trading code.

Requirements

Candidates should have substantial experience building low-latency systems for algorithmic or high-frequency trading, strong systems programming skills, and hands-on knowledge of trading architecture and production strategies. They should be experienced with performance tuning and operational debugging, able to work closely with traders and researchers, and have genuine experience using AI agents with sound judgment about reliability and risk.

Benefits

• Relocation Support