Top Software Engineer Jobs in Singapore

Design, develop, and integrate scalable Python systems for rates risk and PnL. Implement risk metrics, PnL attribution, and data pipelines. Influence architecture, code quality, and adoption of enterprise AI-assisted engineering practices. Collaborate with trading desks and cross-functional teams to deliver robust, secure solutions.

Build and enhance the SteelSeries GG and Nahimic Windows desktop/web applications. Design, implement, and test features, collaborate with firmware/driver/DSP/UX teams, improve stability/performance, and mentor peers while reducing technical debt.

Lead a Singapore-based engineering team to design, build, test, release, and support cloud-native trading and logistics software for energy commodities. Drive engineering quality, reliability, CI/CD, observability, and adoption of enterprise-authorized AI-assisted development. Partner with traders, quants, and operations, mentor engineers, and evaluate external vendor solutions.

Lead architecture and implementation of Airwallex's edge networking stack (API gateway, CDN, DNS, global accelerators). Define border security (DDoS, WAF, rate limiting), build policy-driven API route management, enforce governance, enable hybrid/multi-cloud traffic engineering, and ensure global-scale reliability and QoS for critical payment and auth paths.

Design and deploy software and data-analytics solutions for Probe operations: real-time reporting, monitoring, automation of material tracking and validation, and AI-assisted efficiency improvements. Collaborate globally to identify process improvements and implement software and process changes to reduce resolution turnaround and ensure product quality.

We are seeking a self-motivated engineer to enhance Probe operations through data analytics, develop software solutions, and drive process improvements in production.

Build and own backend systems for accounts, subscriptions, billing, payments, and entitlements. Implement usage-based and subscription billing, integrate payment providers (Stripe), design idempotent payment state machines, ensure accurate financial records and reconciliation, and partner with product and customer teams to deliver reliable, production-grade monetization systems.

Maintain and modernise mission-critical land registry systems (STARS, ELS). Develop and enhance legacy and modern components, troubleshoot production issues, implement refactors and integrations, improve security/observability/DevSecOps, participate in incident RCA, and collaborate with stakeholders to ensure system reliability and compliance.

Six-month Android traineeship building performant, user-friendly mobile applications in Kotlin. Work in cross-functional teams, contribute to large codebases, integrate AI into mobile development, and gain hands-on experience with backend-driven client apps.

Six-month traineeship to learn and build performant iOS applications in Swift. Work in cross-functional agile teams, contribute to large mobile codebases, integrate AI tools, build client apps that interface with complex backends, and learn maintainable software practices through classroom and on-the-job training.

Build and optimize backend systems for a massive-scale search stack: web crawling, embedding model training, high-throughput data pipelines, and a custom vector database to serve low-latency, large-scale search.

Design, implement, test and validate embedded firmware for networking products. Gather requirements, design sub-modules, debug and fix issues, participate in technical discussions, and deliver high-quality software while collaborating with cross-functional and partner teams.

Designing and developing proprietary software for low-latency trading systems, collaborating with teams, and solving complex problems.

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.

Lead a full-stack agile team to design, build, test, and operate secure, scalable frontend (React) and backend (Node.js/TypeScript, Python) services. Own technical delivery, engage stakeholders, drive AI-assisted engineering practices, improve automation and operational stability, maintain documentation and runbooks, and mentor junior engineers.

Design, build, and support Python-based real-time risk and PnL systems for Rates trading. Deliver production-grade, high-performance services, participate in incident management, improve CI/CD and observability, collaborate with traders/quants, reduce technical debt, and drive adoption of enterprise-authorized AI-assisted engineering practices while ensuring secure, validated development.

Lead development, automation, and operation of a global Equities Trading Order Management System. Design OMS features, integrate CI/CD and resiliency, automate processes, lead incident response, coordinate with stakeholders, and ensure regulatory and operational compliance.

Lead an agile engineering team to design, build, and deliver secure, scalable production software. Provide technical guidance, write and review code, drive product and architecture decisions, champion firmwide SDLC and AI-assisted engineering practices, and ensure operational stability and validated automation across the toolchain.

Lead design and deliver high-quality, secure Java-based microservices and web applications. Drive architecture reviews, operational stability, CI/CD automation, and adoption/governance of AI-assisted engineering practices while mentoring engineers and promoting reuse and secure SDLC standards.

Lead design and delivery of a China-focused AI enablement platform: build lightweight UI and backend services, integrate secure APIs to global LLM endpoints, enforce China-specific routing/policy/access controls, ensure compliance, optimize performance, and drive team adoption of AI-assisted engineering practices across the full delivery lifecycle.

Lead frontend development for FX Services: design and implement high-performance React/TypeScript web applications and APIs, produce architecture artifacts, drive secure production code, champion AI-assisted engineering practices, enable test-driven development and CI, and collaborate with stakeholders to deliver UX-focused solutions.

Lead development and production support for Equity Derivatives workflows: design, code, test, release, and troubleshoot systems. Drive architecture, UAT, incident management, observability, metrics, and stakeholder enablement. Collaborate with front office, quants, operations, and controls to ensure reliable pricing, booking, and risk functionality.

Develop and maintain Java services and front-end desktop applications for equities derivatives pricing and trading workflows. Integrate AI/ML autopricers, build scalable cloud-deployed APIs, collaborate with trading, sales and quant teams, and participate in code reviews and delivery lifecycle.

Lead a cross-functional engineering team to design, build, and operate low-latency, mission-critical trading services. Own system design, Java development, API design, CI/CD, reliability, observability, incident response, and mentoring to meet scalability and security goals.

Lead design, development, and deployment of Java-based microservices and scalable systems. Build streaming, reactive services; leverage Kafka, IBM MQ, Redis, Kubernetes, and AWS. Define APIs, ensure logging, security, testing, and performance; drive CI/CD, mentor engineers, and enforce TDD/BDD and high-quality code practices.