Software Engineer (C++, Low latency)

*Singapore returnees or candidates currently residing outside of Singapore are welcome to apply.

Company Summany

A leading global financial institution is building out its next-generation Equities Systematic Trading platform in Singapore. This initiative focuses on modernising core data infrastructure to support quantitative research, electronic trading, and derivatives trading strategies

This is a high-impact opportunity to work at the intersection of data engineering, quantitative research, and low-latency trading systems, with direct exposure to front-office teams

Design, develop, and enhance application code and scripts to support platform functionality

Manage and automate deployment processes, ensuring smooth releases across environment

Promote engineering standards, tools, and best practices across the development lifecycle

Partner with infrastructure, platform, and application teams to improve system stability and resilience

Troubleshoot production issues and implement timely resolutions

Requirements

Degree in Computer Science (or related field) with ~5+ years of hands-on engineering experience

Strong programming skills in C/C++; familiarity with Python or Kotlin is a plus

Proven ability to independently handle end-to-end development—from requirements through to deployment and suport

Experience with CI/CD pipelines, build tools, and configuration management (e.g., Jenkins)

Strong problem-solving skills, with a track record of identifying issues and delivering effective solutions

Experience building and supporting scalable, distributed systems with high availability and failover capabilities

Comfortable working cross-functionally with engineering, SRE, and product teams; able to mentor others

Background in developing and supporting applications on Linux-based systems, ideally within trading environents

Nice to haves

Exposure to electronic trading systems and FIX protocol

Understanding of global markets (equities, futures, options) and exchange connectivity

Familiarity with monitoring/observability tools such as Splunk or Grafana

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