Top Software Engineer Jobs in Singapore

Lead design and roadmap for the Ecosystem platform and marketplace. Build SDKs, webhooks, APIs and UI-extension patterns. Ensure technical excellence, security, observability, and developer experience with documentation, sandboxes, and tooling. Collaborate across product, backend, design, and GTM teams.

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.

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.

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.

Leads hands-on engineering of high-performance Linux infrastructure for low-latency electronic trading. Designs deployment models, containerized platforms, provisioning pipelines, and production automation; optimizes kernel, CPU, NUMA, networking, and timing performance. Drives responsible AI-assisted engineering practices, governance, vendor collaboration, reliability, and reusable solutions. Partners with trading businesses, influences technical strategy and budgets, and mentors engineers and SRE teams.

Design and build cloud cost management and security/access platforms: billing and cost-attribution pipelines, self-serve cost dashboards, anomaly detection, cost-optimization and automated rightsizing, and Just-In-Time access and credential management for production cloud and CI/CD environments.

Design, develop, and operate a resilient, high-throughput, low-latency notification platform supporting SMS, email, push, WhatsApp, and inbox messaging. Build scalable event-driven distributed systems, manage Kafka pipelines, troubleshoot production issues, improve automation and technical quality, and collaborate with global Product, Engineering, Design, and Issuing Platform teams.

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.

Build and own resilient, scalable microservices for Wise’s Cards API, supporting digital and physical card issuance, spending controls, fraud prevention, liquidity optimization, onboarding, and analytics. Collaborate autonomously with product managers, analysts, and engineers to shape solutions, deliver and measure projects, maintain reliable and secure systems, improve observability, and manage technical debt.

Software Engineers at Citadel develop, maintain, and support high-performance trading platforms, focusing on custom software solutions and system stability.

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

Leads software engineering for JPMorganChase’s Currencies and Emerging Markets technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable production code; improves application resilience and automates recurring remediation. Promotes responsible AI-assisted engineering practices, evaluates vendor and architectural solutions, and partners with operations, trading, quantitative research, and technology teams to modernize workflows and support emerging-markets business objectives.

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.

Develop and maintain Python libraries, services, and frameworks for data pipelines used in trading and research. Collaborate with quantitative and tech teams to design data models, deploy resilient data platform tooling, improve development velocity, write design/requirements docs and runbooks, and provide higher-order production support during business hours.

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

Build full-stack product surfaces, backend services, APIs, databases, dashboards, internal tools, vendor workflows, and observability for reinforcement learning data and evaluation systems. Develop interfaces for browsing environments, inspecting trajectories, reviewing quality, debugging failures, and understanding model behavior. Partner with research, operations, vendors, and go-to-market teams to translate ambiguous requirements into reliable products. The role also involves production debugging and cloud infrastructure collaboration.

Build and maintain frontend architecture and interactive UIs for an AI materials product, integrate LLMs and retrieval APIs, implement streaming AI chat and long-content rendering, create data visualizations and dashboards, develop lightweight backend services (Node.js/FastAPI), and manage CI/CD, deployment, and cross-regional collaboration to deliver end-to-end AI application features.

The role involves architecting and implementing robust Java backend solutions, optimizing performance, leading projects, and collaborating with multiple teams while ensuring code quality.

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 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.

Lead front-end design and implementation of client- and sales-facing Market Execute applications. Drive front-end architecture, mentor developers, apply reactive programming and CI/CD, adopt secure AI-assisted engineering practices, and optimize performance and operational stability in an Agile financial-services environment.

Lead an agile team to design, develop, test, and operate high-quality, secure, and scalable order management/trading systems for equities. Provide technical guidance, influence product and architecture decisions, drive adoption of firmwide frameworks and best practices, and ensure operational stability.

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.

Maintain and automate CI/CD pipelines, Linux production environments, and infrastructure-as-code for a low-latency trading platform. Build tooling for monitoring, deployment, networking, incident response, and developer self-service across multi-region systems.

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.