Top Software Engineer Jobs in Singapore

Lead the design, delivery, and production operation of major security product capabilities. Define secure, scalable architectures and balance security, privacy, reliability, performance, and usability. Lead complex technical investigations, improve engineering practices and operational readiness, mentor engineers through reviews, and shape long-term architecture in partnership with product and research teams.

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.

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.

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.

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 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.

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.

Build and maintain internal platforms, developer tools, and AI-powered solutions that improve productivity, reliability, observability, security, and operational efficiency. Troubleshoot performance issues, optimize databases and applications, implement AI security guardrails, establish engineering standards, and partner with teams across fintech and blockchain domains to improve developer experience and system scalability.

As an iOS Software Engineer, you'll develop and maintain iOS applications focused on AI interactions, ensuring high performance and user experience through collaboration and optimization.

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.

The Software Engineer 2 role involves collaborating with teams to enhance and troubleshoot applications, while applying software development concepts and gathering stakeholder requirements.

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.

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.

Work with a team to design, develop, and validate desktop and mobile applications (core and UI) for secure identity documents. Build mobile demo apps for SDKs, test and improve UI/UX, integrate with Jenkins CI, and perform validation and assigned tasks while learning through coaching and feedback.

Six-month traineeship developing performant, user-friendly iOS applications with Swift. The role combines classroom and on-the-job training, exposure to AI integration, collaboration on large-scale mobile codebases, backend-connected client applications, and maintainable software development within agile engineering teams.

Build and maintain high-volume ingestion and low-latency backend services for a federated intelligence platform. Implement features end-to-end, fix bugs, improve performance, participate in operational tasks and runbook improvements, collaborate with cross-functional teams, use AI-assisted tools in development, and grow engineering skills through feedback and pairing.

Work on prototyping and researching GenAI solutions (RAG, agentic AI, fine-tuning). Build PoCs, develop tools aligned to business use cases, experiment with open-source AI stacks and industrial AI services, and support prototype industrialization under supervisor mentorship.