Low-Latency C++ Engineer for Global Trading Platform

Tardis Group

Singapore

On-site

SGD 180,000 - 260,000

Full time

38 hours ago
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Job summary

Tardis Group in Singapore is seeking a C++ Software Engineer to join a high-performing core engineering team building and refining systems that connect trading strategies to global financial markets.

This role suits engineers who thrive in low-latency, high-performance environments and enjoy solving complex technical challenges at scale. Day-to-day activities include designing trading systems, building low-latency infrastructure, and developing monitoring and risk tools.

Qualifications

  • C++ software engineering experience.
  • Strong foundation in data structures, algorithms, and object-oriented programming.
  • Proven ability to write highly optimised, scalable code.
  • Experience in performance-critical or low-latency environments (trading experience is advantageous).
  • Desirable: Linux systems and network programming, Python or shell scripting, distributed systems or high-throughput environments.

Responsibilities

  • Designing and building high-performance trading systems that interface with global exchanges.
  • Developing low-latency infrastructure for market data capture and order execution.
  • Optimising systems using advanced network and systems programming techniques.
  • Building platforms for historical data access and large-scale trading simulations.
  • Creating analytical tools to identify patterns and improve trading strategies.
  • Developing risk management and performance monitoring systems.

Skills

C++ programming
Data structures & algorithms
Low-latency systems
Performance optimisation
Problem solving

Tools

Linux
Python
Shell scripting
Networking (TCP/IP/UDP)

Job description

Tardis Group in Singapore is seeking a C++ Software Engineer to join a high-performing core engineering team building and refining systems that connect trading strategies to global financial markets.

This role suits engineers who thrive in low-latency, high-performance environments and enjoy solving complex technical challenges at scale. Day-to-day activities include designing trading systems, building low-latency infrastructure, and developing monitoring and risk tools.

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