Low-Latency Trading Systems Engineer for On-Chain Markets

Tokka Labs; Singapore; On-site; SGD 150,000 - 260,000; Full time

Job summary

Tokka Labs, a Singapore-based proprietary trading firm, is seeking a Trading Systems Engineer to build low-latency infrastructure for on-chain and traditional markets. You will work closely with quantitative traders and researchers to deploy AI-driven improvements and scalable systems.

You will design high-throughput components, ensure reliability, and help define how AI agents operate within production trading environments. The role emphasizes end-to-end ownership and real-time decision making.

Qualifications

• Proven track record building low-latency trading systems.
• Experience with architecture of order management, routing, and market data pipelines.
• Interest and hands-on use of AI agents in engineering work.
• Ability to optimize performance and ensure reliability of high-throughput systems.
• Willingness to challenge conventions and drive AI-enabled improvements.

Responsibilities

• Design and develop low-latency, high-throughput trade execution and data systems.
• Optimize performance and ensure stability through profiling and tuning.
• Lead by example in using AI agents to ship faster without compromising reliability.
• Shape self-learning loops in the SDLC for improved agent context and tests.
• Collaborate with traders and researchers to productionize ideas and monitor outcomes.

Skills

Low-latency engineering

Trading systems architecture

AI agents in engineering

Real-time market data processing

Risk-aware decision making

End-to-end ownership

Job description

Tokka Labs, a Singapore-based proprietary trading firm, is seeking a Trading Systems Engineer to build low-latency infrastructure for on-chain and traditional markets. You will work closely with quantitative traders and researchers to deploy AI-driven improvements and scalable systems.

You will design high-throughput components, ensure reliability, and help define how AI agents operate within production trading environments. The role emphasizes end-to-end ownership and real-time decision making.