Top Software Engineer Jobs in Singapore

The Senior Software Engineer designs, develops, tests, and supports software components within the RTP program, ensuring high standards and operational readiness while collaborating with teams.

Lead global analytics engineering initiatives for electronic trading and research. Design, build, and optimize real-time data pipelines, scalable APIs, analytics libraries, and production trading tools. Apply AI to data engineering, analytics, and SDLC automation while ensuring reliability, testing, security, and continuous delivery. Collaborate with trading and research teams, onboard datasets, mentor engineers, manage workstreams, and establish technical standards across distributed teams.

Develop AI-enabled solutions and full-stack applications that address business needs. Responsibilities include process analysis, automation, stakeholder engagement, prototyping, development, deployment, production ownership, and continuous improvement. The role requires React, TypeScript, Node.js, PostgreSQL, and API development, with advantageous experience in Python, Docker, GraphQL, C#, LLM APIs, embeddings, and AI workflows.

Build and maintain high-performance iOS applications across the full SDLC, from design and development through testing, deployment, and release. Act as a subject matter expert and product owner, contribute to architecture decisions, conduct code reviews, address scalability challenges, manage CI/CD pipelines, and collaborate with Product Management to deliver customer growth, acquisition, and retention experiences.

Design, develop, test, and troubleshoot software applications for banking and financial services. Collaborate with business stakeholders and cross-functional teams to translate requirements into integrated solutions. Participate in code reviews, improve code quality, and resolve technical issues efficiently while adapting to evolving requirements.

Develop and maintain high-performance analytics web applications and platforms for cybersecurity insights. Responsibilities include full-stack development, UI/UX and data visualization, cloud and on-premise platform administration, system monitoring, maintenance, documentation, performance optimization, and agentic AI application development. The role collaborates with data scientists, threat researchers, analysts, and infrastructure engineers while handling large-scale data.

Develop responsive web and mobile applications with React, TypeScript, and React Native; build Node.js backend services and REST APIs; integrate third-party and enterprise systems; work with relational and NoSQL databases; write tests; maintain Git and CI/CD workflows; containerize and deploy applications on AWS; apply secure coding practices; troubleshoot production issues; and collaborate in Agile teams through releases and support.

Design, develop, test, and maintain scalable software solutions for a store fulfillment platform. Collaborate with product and UX teams, troubleshoot production issues, perform root cause analysis, and deliver reliable code. Lead small engineering groups, mentor teammates, implement CI/CD automation, monitor application performance, and support quality, security, availability, and scalability standards.

The Senior Embedded Graphics Software Engineer develops and maintains GPU software stacks, collaborates on graphics APIs, and supports pre- and post-silicon testing.

Lead software engineering projects for J.P. Morgan’s Strategic Index trading platform. Develop high-quality, tested applications and components using Python and Athena, collaborate with technology and front-office teams, translate business requirements into solutions, and own deliverables through production. Support trading, sales, structuring, risk, P&L, execution, booking, market data, and client-facing applications in a controlled Agile environment.

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.

12-week software engineering intern who owns an end-to-end project, works with mentors, and contributes to production-grade systems. Learn and apply best-practice engineering using a modern stack (Kotlin, Kafka, Kubernetes, React) and AI/LLM tools for research, prototyping, debugging, testing and documentation. Participate in cohort activities, program reviews, and a final project showcase.

Lead architecture and hands-on development of scalable React and TypeScript applications. Define frontend standards, build reusable components, improve performance and observability, establish testing and CI/CD practices, and influence cross-team technical direction. Partner with backend and platform engineers on APIs and system design while mentoring engineers and driving reliable delivery.

Software Engineer Interns will complete an end-to-end project from design through deployment, working with production data and systems in a small Singapore-based team. Responsibilities include participating in financial markets training, collaborating with engineers, traders, and researchers, and building fast, reliable software for automated trading systems. Interns will receive mentorship and may convert to a full-time role after graduation based on performance.

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.

Leads software engineering teams responsible for designing, developing, testing, and deploying high-quality digital software. Manages talent development, hiring, performance, resource planning, and delivery outcomes. Oversees mobile application release lifecycles, quality gates, defect resolution, CI/CD improvements, code reviews, and operational excellence. Partners with cross-functional technology and business teams while ensuring security, compliance, risk management, and adherence to company policies.

Build and operate scalable backend services and APIs for an AI-driven legal platform. Responsibilities include asynchronous message-queue processing, document data pipelines, PostgreSQL schema and query optimization, authentication and authorization, search and vector storage integration, observability, automated testing, CI pipelines, technical design, production support, and on-call participation.

Build and maintain production-grade iOS applications using Swift and SwiftUI, integrating AI features through backend APIs. Design reliable AI interaction patterns, optimize performance, memory, and battery usage, and support streaming, retries, and fallbacks. Collaborate with backend and machine learning engineers on APIs and system behavior, capture user feedback for AI evaluation, maintain App Store quality, and diagnose production issues through monitoring and root-cause analysis.

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.

Three- to six-month 2027 internship for penultimate- or final-year Bachelor's, Master's, or PhD students. Quantitative developers build tools, platforms, and infrastructure supporting quantitative research and live trading. Software engineers develop high-performance trading, execution, risk, analytics, and market connectivity systems. Candidates contribute to technically challenging projects, optimize performance, and collaborate with researchers, traders, and engineers in a rigorous environment.

Build and maintain production-grade citizen-facing government applications, including audit logging, identity integrations, notifications, scheduling, attendance tracking, dashboards, search, personalization, and AI/ML integrations. Develop responsive web or PWA experiences and RESTful APIs using Node.js and TypeScript. Manage relational or NoSQL databases, cloud deployments, CI/CD, containers, infrastructure as code, monitoring, and role-based access control.

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.

Six-month traineeship developing performant, user-friendly Android applications using Kotlin. The role combines classroom and on-the-job training, exposure to AI integration in mobile development, contributions to large codebases, backend-connected client applications, and collaborative work within agile cross-functional engineering teams.

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.