Top Software Engineer Jobs in Singapore

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 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.

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 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.

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.

Develop and maintain full-stack web applications, backend services, REST APIs, microservices, and enterprise integrations for Facilities Management and Smart District operations. Deploy cloud-native solutions on Azure using Docker, Kubernetes, and CI/CD pipelines. Implement secure coding, authentication, secrets management, monitoring, and troubleshooting. Collaborate with product managers, designers, technical leads, and stakeholders on solution design, application modernization, Agile delivery, and AI-enabled capabilities.

Develop and maintain secure, reliable, cross-platform desktop software for Windows, macOS, and Linux. Design solutions, write automated tests, support CI/CD, improve existing systems, address technical debt, and participate in code and design reviews. Collaborate with engineers and stakeholders, investigate technical challenges, and use AI-assisted development tools to improve engineering productivity while validating quality, security, and maintainability.

Build and ship native Android features in Kotlin for an AI-enabled neobank. Design clean user flows for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and add on-device AI where it improves UX.

Design and optimize high-frequency trading infrastructure, including exchange connectivity, market-data systems, trading simulations, risk tools, and performance tracking. Develop low-latency network and systems software, analyze market data, and build tools for identifying trading patterns. Candidates should have a computer science degree, C++ development experience, strong data structures and algorithms knowledge, and familiarity with high-throughput systems, Linux, and networking.

Design, develop, and maintain scalable production web applications using JavaScript, TypeScript, React.js, and Node.js. Build prototypes, APIs, and user-focused features; manage cloud deployments, infrastructure, and CI/CD pipelines; implement automated and end-to-end testing; and collaborate with cross-functional teams while sharing knowledge and mentoring colleagues.

Build and maintain secure, reliable full-stack applications, APIs, integrations, cloud infrastructure, and serverless workloads for government digital products. Translate business and architectural requirements into maintainable solutions, implement security and compliance controls, support modernization and production systems, and improve engineering practices. The role requires frontend, backend, database, AWS, infrastructure-as-code, CI/CD, monitoring, troubleshooting, and production support experience. Candidates must also complete a full-stack technical assessment involving data.gov.sg and AWS infrastructure design.

Develop and maintain backend-focused full-stack services for cloud-based digital platforms using Node.js and TypeScript. Responsibilities include API, database, workflow, audit logging, reporting, integrations, AWS deployment, CI/CD support, database migrations, troubleshooting, and security remediation. Collaborate with technical, frontend, QA, and infrastructure teams to deliver secure, reliable applications.

Lead technical delivery of a secure, scalable cloud platform. Translate architecture into frontend, backend, API, database, and deployment designs; develop full-stack components with React, TypeScript, Node.js, and PostgreSQL; lead engineers; oversee code quality, CI/CD, AWS deployment readiness, authentication, security scanning, vulnerability remediation, and VAPT findings.

Develop and maintain full-stack applications using ReactJS, TypeScript, and Python frameworks. Build AI- and data-driven workflow modules, implement GitLab CI/CD pipelines, automate testing, support containerized deployments, and contribute to architecture and code reviews. Collaborate with multidisciplinary teams to deliver resilient digital solutions, make technical decisions, and apply observability practices in a Singapore government agency environment.

Develop responsive, accessible user-facing and admin-facing web interfaces for a cloud-based digital platform. Build reusable React and TypeScript components, integrate REST APIs, implement state management and authentication flows, support AWS frontend deployments, remediate security findings, and assist with unit, UI automation, and regression testing.

Develop and maintain scalable full-stack software for Singapore’s Government Procurement platform. Deliver features across services and integrations, write technical designs, conduct architecture reviews, improve testing and CI/CD, manage technical debt, and ensure security, performance, monitoring, and resiliency. Lead incident response, mentor junior engineers, coordinate cross-functional stakeholders, manage ambiguous projects, and contribute to technical strategy and continuous improvement.

Design and develop a browser-based 3D IFC model viewer for Singapore’s Built Environment sector. Responsibilities include architecture and implementation, evaluating IFC parsers and WebGL tools, adding model navigation and inspection features, collaborating on geometry processing and APIs, optimizing performance for complex models, and incorporating user feedback.

Design, develop, test, deploy, monitor, and troubleshoot software applications supporting government digital services and citizen-facing platforms. Conduct code reviews focused on quality, security, and performance, and collaborate with UX designers on user-centered product designs. The role requires modern JavaScript, React.js, and Go development, with exposure to automated testing, databases, Docker, CI/CD, cloud deployment, Agile, and Scrum.

Design, build, integrate, test, and maintain complex software components for Singapore Government Agency products. Develop prototypes, define system architectures, apply Agile and DevOps practices, and use cloud and emerging AI technologies. Collaborate with UX designers, developers, engineers, and stakeholders to deliver enterprise solutions. Provide technical consultancy throughout the systems development lifecycle, including technical specifications, configuration, and testing.

Build and maintain internal developer platform software, APIs, CLIs, infrastructure modules, developer portals, and secure remote development environments. Implement AWS, Kubernetes, GitOps, CI/CD, observability, security, reliability, backup, and recovery capabilities. Improve self-service workflows and developer experience while collaborating with application teams and stakeholders.

Develop, test, deploy, and support software for Singapore Government Agency initiatives serving social and family services. Responsibilities may span backend or frontend development, APIs, microservices, databases, data pipelines, integrations, automated testing, containerization, cloud deployment, and production operations. Engineers are expected to take ownership, solve problems pragmatically, communicate clearly, maintain quality and security, and collaborate with technical and non-technical stakeholders.

Participate in banking product configuration development and validation with NPI engineers. Develop standalone or web-based internal tools, while gaining experience across the software development lifecycle, including planning, development, testing, and integration. The role includes mentorship from experienced product and software engineers and requires a five- to six-month commitment, preferably full-time.

Leads platform engineering initiatives delivering scalable cloud-native systems and AI-driven applications. Responsibilities include full software lifecycle execution, system design reviews, infrastructure and tooling development, ML framework integration, monitoring, and maintenance. The role mentors engineers, influences technical direction, collaborates cross-functionally on requirements, and drives continuous improvement across distributed systems and platform capabilities.

Leads development of scalable platform capabilities, infrastructure, tooling, and ML frameworks. Drives the full software development lifecycle, applies cloud-native architecture, conducts system design reviews, builds AI-driven applications, mentors engineers, and collaborates with stakeholders to deliver reliable, data-informed technical solutions.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.