Top Software Engineer Jobs in Singapore

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.

Designs, develops, and maintains secure, high-quality production code and architectures for payments systems. Troubleshoots complex issues, analyzes large datasets for improvements, leverages AI-assisted development tools, follows SDLC and agile CI/CD practices, and contributes to team culture and engineering communities.

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.

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.

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 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 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.

Design, develop, and integrate scalable Python-based systems for rates trading risk and PnL. Implement risk metrics, PnL attribution, data pipelines, and participate in architecture, code reviews, and adoption of enterprise AI-assisted engineering practices to improve code quality and delivery.

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, 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.

Build scalable backend platform capabilities, infrastructure, tooling, and ML frameworks for Walmart’s Membership Experience Engineering team. Lead the full software development lifecycle, apply cloud-native architecture, design APIs and resilient systems, integrate AI and machine learning components, conduct design reviews, and ensure deployment, observability, and maintenance. Mentor engineers, influence technical decisions, collaborate with stakeholders, and use data-driven practices to improve engineering productivity and product outcomes.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.

Support implementation and maintenance of secure digital-asset custody (cold storage, multi-sig), monitor blockchain transactions, develop and improve smart contracts and scripts, and enhance blockchain payment networks for high availability.

Design, develop, test, and deploy cloud-native web applications; translate business requirements into scalable solutions; implement CI/CD and observability; participate in agile sprints, code reviews, and user engagement; mentor peers and share engineering best practices.

Develops and maintains firmware and software, integrates hardware and software, and designs automated and manual tests. Creates test plans, documentation, test tools, and CI/CD pipeline improvements. Performs root cause analysis, investigates build failures, supports bug resolution, and maintains test networks that simulate customer environments. Participates in code reviews, improves processes and technologies, and mentors junior team members. Uses prompt engineering and generative AI tools to improve daily efficiency.