Software Engineer (C++, Low latency)

Morgan McKinley; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Morgan McKinley in Singapore is recruiting a hands-on software engineer to join the Equities Systematic Trading platform team. You will design, develop, and improve core trading data infrastructure and support low-latency execution systems.

Ideal candidates have a CS degree and 5+ years of hands-on experience with C/C++, plus familiarity with Python or Kotlin, and CI/CD processes. You will mentor peers, ensure reliability, and collaborate across engineering, SRE, and product teams.

Qualifications

• 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 support.
• 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 environments.

Responsibilities

• 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

Skills

C/C++ programming

Python

Kotlin

Problem solving

Cross-functional collaboration

Mentoring

Education

Bachelor's degree in Computer Science

Tools

Jenkins

Job description

*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