Top Software Engineer Jobs in Singapore

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.

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.

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 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 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.

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.

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.

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 and operate high-throughput Real-Time Payments services: build and scale microservices, implement GemFire/Geode low-latency patterns, manage incidents (P1/P2), deploy cloud-native solutions on AWS, implement AI-assisted observability/operations, ensure release quality, compliance, and cross-team collaboration.

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 frontend development for Embedded Finance products using ReactJS and Node.JS. Collaborate with engineers, product managers, and designers to build, measure, and optimize web UIs driven by customer empathy and data. Mentor peers, improve frontend performance, and deliver scalable global user experiences.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Design clean user flows, integrate backend APIs, improve performance and reliability, debug production issues, and implement AI-assisted on-device experiences where beneficial.

The Mobile Software Engineer will design, implement, and validate mobile SDKs, troubleshoot, and support mobile authentication and payment applications.

As a Software Engineer at Allium, you will manage blockchain data processing, optimize data transport, ensure data quality, develop APIs, and implement fraud detection measures while supporting high-traffic applications.

As a Forward Deployed Software Engineer, you will develop applications leveraging physics AI models, collaborating with data scientists and customers, and design E2E solutions while deploying APIs and microservices.