Top Software Engineer Jobs in Singapore

Leads software design, development, testing, troubleshooting, and production stability for post-trade technology systems. Creates secure, scalable code and architecture artifacts, analyzes large datasets, improves system design, and uses enterprise-authorized AI coding tools responsibly. Collaborates within agile teams while applying software development lifecycle, resiliency, security, automation, and cloud-native practices.

Develops, designs, tests, troubleshoots, and maintains secure, scalable software components within an agile banking technology team. Writes high-quality Java or Kotlin code, considers system dependencies, supports operational stability, analyzes data to solve technical problems, and applies SDLC automation and AI-assisted development tools. Requires collaboration across system design, application development, testing, security, resiliency, and cloud technologies, with blockchain and modern front-end familiarity preferred.

Lead technical design and resiliency for Electronic Trading Services, champion SRE practices, set SLOs/SLO indicators, lead incident response, mentor engineers, reduce toil, and implement observability, CI/CD, containerization, and networking improvements to ensure reliability and low-latency performance.

Lead design and implement a low-latency options market making and volatility execution platform. Develop and optimize performance-critical C++17/20 components for high-throughput market data and order flow, build trading controls and risk safeguards, collaborate with quantitative researchers and traders, drive architecture and operational stability, and adopt enterprise AI-assisted engineering practices.

Lead design and delivery of ultra-low-latency C++ trading systems for equity derivatives across APAC. Architect exchange connectivity (FIX and binary protocols), build and scale a Singapore engineering team, define technical roadmaps, collaborate with global peers and trading desks, and champion engineering best practices, CI/CD, and high-availability distributed systems.

Lead design, build, and support Python-based real-time risk and PnL services for Rates trading. Ensure performance, correctness, resiliency, CI/CD, observability, production support, and collaboration with traders, quants, DevOps, and platform teams. Drive adoption and safe use of enterprise AI-assisted engineering practices.